<?xml version="1.0" encoding="UTF-8"?>
<metabolite>
  <version>1.0</version>
  <creation_date>2016-09-30 22:48:29 UTC</creation_date>
  <update_date>2020-06-04 20:49:42 UTC</update_date>
  <accession>BMDB0001875</accession>
  <secondary_accessions>
    <accession>BMDB01875</accession>
  </secondary_accessions>
  <name>Methanol</name>
  <description>Methanol, also known as columbian spirit or methyl alcohol, belongs to the class of organic compounds known as primary alcohols. Primary alcohols are compounds comprising the primary alcohol functional group, with the general structure RCOH (R=alkyl, aryl). Methanol exists as a solid, possibly soluble (in water), and an extremely weak basic (essentially neutral) compound (based on its pKa) molecule. Methanol exists in all living organisms, ranging from bacteria to humans. Methanol is a potentially toxic compound.</description>
  <synonyms>
    <synonym>Carbinol</synonym>
    <synonym>CH3OH</synonym>
    <synonym>MeOH</synonym>
    <synonym>Methyl alcohol</synonym>
    <synonym>Methylalkohol</synonym>
    <synonym>Spirit OF wood</synonym>
    <synonym>Wood alcohol</synonym>
    <synonym>Wood naphtha</synonym>
    <synonym>Wood spirit</synonym>
    <synonym>Alcohol, methyl</synonym>
    <synonym>Alcohol, wood</synonym>
    <synonym>Methoxide, sodium</synonym>
    <synonym>Sodium methoxide</synonym>
    <synonym>Alcool methylique</synonym>
    <synonym>Alcool metilico</synonym>
    <synonym>Colonial spirit</synonym>
    <synonym>Columbian spirit</synonym>
    <synonym>Columbian spirits</synonym>
    <synonym>Hydroxymethane</synonym>
    <synonym>Metanolo</synonym>
    <synonym>Methanol-water mixture</synonym>
    <synonym>Methyl hydroxide</synonym>
    <synonym>Methylol</synonym>
    <synonym>Metylowy alkohol</synonym>
    <synonym>Monohydroxymethane</synonym>
    <synonym>pyro Alcohol</synonym>
    <synonym>Pyroxylic spirit</synonym>
  </synonyms>
  <chemical_formula>CH4O</chemical_formula>
  <average_molecular_weight>32.0419</average_molecular_weight>
  <monisotopic_moleculate_weight>32.02621475</monisotopic_moleculate_weight>
  <iupac_name>methanol</iupac_name>
  <traditional_iupac>methanol</traditional_iupac>
  <cas_registry_number>67-56-1</cas_registry_number>
  <smiles>CO</smiles>
  <inchi>InChI=1S/CH4O/c1-2/h2H,1H3</inchi>
  <inchikey>OKKJLVBELUTLKV-UHFFFAOYSA-N</inchikey>
  <taxonomy>
    <description> belongs to the class of organic compounds known as primary alcohols. Primary alcohols are compounds comprising the primary alcohol functional group, with the general structure RCOH (R=alkyl, aryl).</description>
    <kingdom>Organic compounds</kingdom>
    <super_class>Organic oxygen compounds</super_class>
    <class>Organooxygen compounds</class>
    <sub_class>Alcohols and polyols</sub_class>
    <direct_parent>Primary alcohols</direct_parent>
    <alternative_parents>
      <alternative_parent>Hydrocarbon derivatives</alternative_parent>
    </alternative_parents>
    <substituents>
      <substituent>Aliphatic acyclic compound</substituent>
      <substituent>Hydrocarbon derivative</substituent>
      <substituent>Primary alcohol</substituent>
    </substituents>
    <molecular_framework>Aliphatic acyclic compounds</molecular_framework>
    <external_descriptors>
      <external_descriptor>a short-chain alcohol</external_descriptor>
      <external_descriptor>alkyl alcohol</external_descriptor>
      <external_descriptor>one-carbon compound</external_descriptor>
      <external_descriptor>primary alcohol</external_descriptor>
    </external_descriptors>
  </taxonomy>
  <experimental_properties>
    <state>Liquid</state>
    <property>
      <kind>melting_point</kind>
      <value>-97.6 °C</value>
      <source/>
    </property>
    <property>
      <kind>water_solubility</kind>
      <value>1000 mg/mL at 25 °C</value>
      <source/>
    </property>
    <property>
      <kind>logp</kind>
      <value>-0.77</value>
      <source>HANSCH,C ET AL. (1995)</source>
    </property>
  </experimental_properties>
  <predicted_properties>
    <property>
      <kind>logp</kind>
      <value>-1.38</value>
      <source>ALOGPS</source>
    </property>
    <property>
      <kind>logs</kind>
      <value>1.21</value>
      <source>ALOGPS</source>
    </property>
    <property>
      <kind>logp</kind>
      <value>-0.52</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>pka_strongest_acidic</kind>
      <value>15.78</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>pka_strongest_basic</kind>
      <value>-2.5</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>iupac</kind>
      <value>methanol</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>average_mass</kind>
      <value>32.0419</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>mono_mass</kind>
      <value>32.02621475</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>smiles</kind>
      <value>CO</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>formula</kind>
      <value>CH4O</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>inchi</kind>
      <value>InChI=1S/CH4O/c1-2/h2H,1H3</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>inchikey</kind>
      <value>OKKJLVBELUTLKV-UHFFFAOYSA-N</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>polar_surface_area</kind>
      <value>20.23</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>refractivity</kind>
      <value>8.26</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>polarizability</kind>
      <value>3.38</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>rotatable_bond_count</kind>
      <value>0</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>acceptor_count</kind>
      <value>1</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>donor_count</kind>
      <value>1</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>physiological_charge</kind>
      <value>0</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>formal_charge</kind>
      <value>0</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>number_of_rings</kind>
      <value>0</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>bioavailability</kind>
      <value>1</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>rule_of_five</kind>
      <value>Yes</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>ghose_filter</kind>
      <value>Yes</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>veber_rule</kind>
      <value>Yes</value>
      <source>ChemAxon</source>
    </property>
    <property>
      <kind>mddr_like_rule</kind>
      <value>Yes</value>
      <source>ChemAxon</source>
    </property>
  </predicted_properties>
  <pathways>
  </pathways>
  <spectra>
    <spectrum>
      <type>Specdb::EiMs</type>
      <spectrum_id>939</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsIr</type>
      <spectrum_id>1420</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsIr</type>
      <spectrum_id>1421</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsIr</type>
      <spectrum_id>1422</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrTwoD</type>
      <spectrum_id>1092</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrTwoD</type>
      <spectrum_id>1713</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>1768</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>1769</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>1770</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>5532</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>20492</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>20493</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>20494</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>22043</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>22044</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>22045</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>2298501</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>2298502</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>2298503</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>2637622</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>2637623</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::MsMs</type>
      <spectrum_id>2637624</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>20569</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>29321</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>29529</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>38162</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>99719</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>99720</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::CMs</type>
      <spectrum_id>165242</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>1773</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>2575</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>3271</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>9802</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>9803</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>9804</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>9805</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>9806</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>9807</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>9808</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>9809</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>9810</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>9811</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>9812</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>9813</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>9814</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>9815</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>9816</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>9817</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>9818</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>9819</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>9820</spectrum_id>
    </spectrum>
    <spectrum>
      <type>Specdb::NmrOneD</type>
      <spectrum_id>9821</spectrum_id>
    </spectrum>
  </spectra>
  <normal_concentrations>
    <concentration>
      <biospecimen>Adrenal Gland</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <references>
        <reference>
          <reference_text>Wishart DS, Feunang YD, Marcu A, Guo AC, Liang K, Vazquez-Fresno R, Sajed T, Johnson D, Li C, Karu N, Sayeeda Z, Lo E, Assempour N, Berjanskii M, Singhal S, Arndt D, Liang Y, Badran H, Grant J, Serra-Cayuela A, Liu Y, Mandal R, Neveu V, Pon A, Knox C, Wilson M, Manach C, Scalbert A: HMDB 4.0: the human metabolome database for 2018. Nucleic Acids Res. 2018 Jan 4;46(D1):D608-D617. doi: 10.1093/nar/gkx1089.</reference_text>
          <pubmed_id>29140435</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Blood</biospecimen>
      <concentration_value>32 +/- 4</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>By NMR</comment>
      <references>
        <reference>
          <reference_text>Aidin Foroutan, Carolyn Fitzsimmons, Rupasri Mandal, Hamed Piri‐Moghadam, Jiamin Zheng, AnChi Guo, Carin Li, Le Luo Guan and David S. Wishart. The Bovine Metabolome. Metabolites 2020, 10, 233; doi:10.3390/metabo10060233</reference_text>
          <pubmed_id/>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Blood</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <references>
        <reference>
          <reference_text>Jiyuan Li, Everestus C. Akanno, Tiago Valente, Mohammed Abo-Ismail, Brian Karisa, Zhiquan Wang, Graham S. Plastow.  Genomic heritability and genome-wide association studies of plasma metabolites in crossbred beef cattle. (in preparation)</reference_text>
          <pubmed_id/>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Blood</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <comment>Detected by NMR</comment>
      <references>
        <reference>
          <reference_text>De Buck J, Shaykhutdinov R, Barkema HW, Vogel HJ: Metabolomic profiling in cattle experimentally infected with Mycobacterium avium subsp. paratuberculosis. PLoS One. 2014 Nov 5;9(11):e111872. doi: 10.1371/journal.pone.0111872. eCollection 2014.</reference_text>
          <pubmed_id>25372282</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Brain</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <references>
        <reference>
          <reference_text>Wishart DS, Feunang YD, Marcu A, Guo AC, Liang K, Vazquez-Fresno R, Sajed T, Johnson D, Li C, Karu N, Sayeeda Z, Lo E, Assempour N, Berjanskii M, Singhal S, Arndt D, Liang Y, Badran H, Grant J, Serra-Cayuela A, Liu Y, Mandal R, Neveu V, Pon A, Knox C, Wilson M, Manach C, Scalbert A: HMDB 4.0: the human metabolome database for 2018. Nucleic Acids Res. 2018 Jan 4;46(D1):D608-D617. doi: 10.1093/nar/gkx1089.</reference_text>
          <pubmed_id>29140435</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Epidermis</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <references>
        <reference>
          <reference_text>Wishart DS, Feunang YD, Marcu A, Guo AC, Liang K, Vazquez-Fresno R, Sajed T, Johnson D, Li C, Karu N, Sayeeda Z, Lo E, Assempour N, Berjanskii M, Singhal S, Arndt D, Liang Y, Badran H, Grant J, Serra-Cayuela A, Liu Y, Mandal R, Neveu V, Pon A, Knox C, Wilson M, Manach C, Scalbert A: HMDB 4.0: the human metabolome database for 2018. Nucleic Acids Res. 2018 Jan 4;46(D1):D608-D617. doi: 10.1093/nar/gkx1089.</reference_text>
          <pubmed_id>29140435</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Erythrocyte</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <references>
        <reference>
          <reference_text>Wishart DS, Feunang YD, Marcu A, Guo AC, Liang K, Vazquez-Fresno R, Sajed T, Johnson D, Li C, Karu N, Sayeeda Z, Lo E, Assempour N, Berjanskii M, Singhal S, Arndt D, Liang Y, Badran H, Grant J, Serra-Cayuela A, Liu Y, Mandal R, Neveu V, Pon A, Knox C, Wilson M, Manach C, Scalbert A: HMDB 4.0: the human metabolome database for 2018. Nucleic Acids Res. 2018 Jan 4;46(D1):D608-D617. doi: 10.1093/nar/gkx1089.</reference_text>
          <pubmed_id>29140435</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Fibroblasts</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <references>
        <reference>
          <reference_text>Wishart DS, Feunang YD, Marcu A, Guo AC, Liang K, Vazquez-Fresno R, Sajed T, Johnson D, Li C, Karu N, Sayeeda Z, Lo E, Assempour N, Berjanskii M, Singhal S, Arndt D, Liang Y, Badran H, Grant J, Serra-Cayuela A, Liu Y, Mandal R, Neveu V, Pon A, Knox C, Wilson M, Manach C, Scalbert A: HMDB 4.0: the human metabolome database for 2018. Nucleic Acids Res. 2018 Jan 4;46(D1):D608-D617. doi: 10.1093/nar/gkx1089.</reference_text>
          <pubmed_id>29140435</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Hair</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <references>
        <reference>
          <reference_text>Wishart DS, Feunang YD, Marcu A, Guo AC, Liang K, Vazquez-Fresno R, Sajed T, Johnson D, Li C, Karu N, Sayeeda Z, Lo E, Assempour N, Berjanskii M, Singhal S, Arndt D, Liang Y, Badran H, Grant J, Serra-Cayuela A, Liu Y, Mandal R, Neveu V, Pon A, Knox C, Wilson M, Manach C, Scalbert A: HMDB 4.0: the human metabolome database for 2018. Nucleic Acids Res. 2018 Jan 4;46(D1):D608-D617. doi: 10.1093/nar/gkx1089.</reference_text>
          <pubmed_id>29140435</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Intestine</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <references>
        <reference>
          <reference_text>Wishart DS, Feunang YD, Marcu A, Guo AC, Liang K, Vazquez-Fresno R, Sajed T, Johnson D, Li C, Karu N, Sayeeda Z, Lo E, Assempour N, Berjanskii M, Singhal S, Arndt D, Liang Y, Badran H, Grant J, Serra-Cayuela A, Liu Y, Mandal R, Neveu V, Pon A, Knox C, Wilson M, Manach C, Scalbert A: HMDB 4.0: the human metabolome database for 2018. Nucleic Acids Res. 2018 Jan 4;46(D1):D608-D617. doi: 10.1093/nar/gkx1089.</reference_text>
          <pubmed_id>29140435</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Kidney</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <references>
        <reference>
          <reference_text>Wishart DS, Feunang YD, Marcu A, Guo AC, Liang K, Vazquez-Fresno R, Sajed T, Johnson D, Li C, Karu N, Sayeeda Z, Lo E, Assempour N, Berjanskii M, Singhal S, Arndt D, Liang Y, Badran H, Grant J, Serra-Cayuela A, Liu Y, Mandal R, Neveu V, Pon A, Knox C, Wilson M, Manach C, Scalbert A: HMDB 4.0: the human metabolome database for 2018. Nucleic Acids Res. 2018 Jan 4;46(D1):D608-D617. doi: 10.1093/nar/gkx1089.</reference_text>
          <pubmed_id>29140435</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Liver</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <references>
        <reference>
          <reference_text>Wishart DS, Feunang YD, Marcu A, Guo AC, Liang K, Vazquez-Fresno R, Sajed T, Johnson D, Li C, Karu N, Sayeeda Z, Lo E, Assempour N, Berjanskii M, Singhal S, Arndt D, Liang Y, Badran H, Grant J, Serra-Cayuela A, Liu Y, Mandal R, Neveu V, Pon A, Knox C, Wilson M, Manach C, Scalbert A: HMDB 4.0: the human metabolome database for 2018. Nucleic Acids Res. 2018 Jan 4;46(D1):D608-D617. doi: 10.1093/nar/gkx1089.</reference_text>
          <pubmed_id>29140435</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Milk</biospecimen>
      <concentration_value>27.43 +/- 15.84</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Raw milk metabolite measured during mid-lactation from cows fed diets consisting of total mixed ration (TMR), by 1H-NMR</comment>
      <references>
        <reference>
          <reference_text>O'Callaghan TF, Vazquez-Fresno R, Serra-Cayuela A, Dong E, Mandal R, Hennessy D, McAuliffe S, Dillon P, Wishart DS, Stanton C, Ross RP: Pasture Feeding Changes the Bovine Rumen and Milk Metabolome. Metabolites. 2018 Apr 6;8(2). pii: metabo8020027. doi: 10.3390/metabo8020027.</reference_text>
          <pubmed_id>29642378</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Milk</biospecimen>
      <concentration_value>4.63 +/- 6.42</concentration_value>
      <concentration_units>mg/100g dry matter content</concentration_units>
      <comment>Italian raw milk</comment>
      <references>
        <reference>
          <reference_text>Brigitta Gaspardo et al. Determination of volatile fractions in raw milk and ripened cheese by means of GC-MS. Results of a survey performed in the marginal area between Italy and Slovenia. Italian Jounal of Animal Science Vol 8, 377-390, 2009</reference_text>
          <pubmed_id/>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Milk</biospecimen>
      <concentration_value>3.46 +/- 3.28</concentration_value>
      <concentration_units>mg/100g dry matter content</concentration_units>
      <comment>Slovenian raw milk</comment>
      <references>
        <reference>
          <reference_text>Brigitta Gaspardo et al. Determination of volatile fractions in raw milk and ripened cheese by means of GC-MS. Results of a survey performed in the marginal area between Italy and Slovenia. Italian Jounal of Animal Science Vol 8, 377-390, 2009</reference_text>
          <pubmed_id/>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Milk</biospecimen>
      <concentration_value>23.64 +/- 7.16</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Raw milk metabolite measured during mid-lactation from cows fed diets consisting of perennial ryegrass (GRS), by 1H-NMR</comment>
      <references>
        <reference>
          <reference_text>O'Callaghan TF, Vazquez-Fresno R, Serra-Cayuela A, Dong E, Mandal R, Hennessy D, McAuliffe S, Dillon P, Wishart DS, Stanton C, Ross RP: Pasture Feeding Changes the Bovine Rumen and Milk Metabolome. Metabolites. 2018 Apr 6;8(2). pii: metabo8020027. doi: 10.3390/metabo8020027.</reference_text>
          <pubmed_id>29642378</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Milk</biospecimen>
      <concentration_value>32 +/- 1</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>1% milk by NMR</comment>
      <references>
        <reference>
          <reference_text>Foroutan A, Guo AC, Vazquez-Fresno R, Lipfert M, Zhang L, Zheng J, Badran H, Budinski Z, Mandal R, Ametaj BN, Wishart DS: Chemical Composition of Commercial Cow's Milk. J Agric Food Chem. 2019 Apr 17. doi: 10.1021/acs.jafc.9b00204.</reference_text>
          <pubmed_id>30994344</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Milk</biospecimen>
      <concentration_value>30 +/- 4</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>2% milk by NMR</comment>
      <references>
        <reference>
          <reference_text>Foroutan A, Guo AC, Vazquez-Fresno R, Lipfert M, Zhang L, Zheng J, Badran H, Budinski Z, Mandal R, Ametaj BN, Wishart DS: Chemical Composition of Commercial Cow's Milk. J Agric Food Chem. 2019 Apr 17. doi: 10.1021/acs.jafc.9b00204.</reference_text>
          <pubmed_id>30994344</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Milk</biospecimen>
      <concentration_value>32 +/- 4</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>3.25% milk by NMR</comment>
      <references>
        <reference>
          <reference_text>Foroutan A, Guo AC, Vazquez-Fresno R, Lipfert M, Zhang L, Zheng J, Badran H, Budinski Z, Mandal R, Ametaj BN, Wishart DS: Chemical Composition of Commercial Cow's Milk. J Agric Food Chem. 2019 Apr 17. doi: 10.1021/acs.jafc.9b00204.</reference_text>
          <pubmed_id>30994344</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Milk</biospecimen>
      <concentration_value>29 +/- 3</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Skim milk by NMR</comment>
      <references>
        <reference>
          <reference_text>Foroutan A, Guo AC, Vazquez-Fresno R, Lipfert M, Zhang L, Zheng J, Badran H, Budinski Z, Mandal R, Ametaj BN, Wishart DS: Chemical Composition of Commercial Cow's Milk. J Agric Food Chem. 2019 Apr 17. doi: 10.1021/acs.jafc.9b00204.</reference_text>
          <pubmed_id>30994344</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Milk</biospecimen>
      <concentration_value>29.85 +/- 19.30</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>Raw milk metabolite measured during mid-lactation from cows fed diets consisting of perennial ryegrass and white clover (CLV), by 1H-NMR</comment>
      <references>
        <reference>
          <reference_text>O'Callaghan TF, Vazquez-Fresno R, Serra-Cayuela A, Dong E, Mandal R, Hennessy D, McAuliffe S, Dillon P, Wishart DS, Stanton C, Ross RP: Pasture Feeding Changes the Bovine Rumen and Milk Metabolome. Metabolites. 2018 Apr 6;8(2). pii: metabo8020027. doi: 10.3390/metabo8020027.</reference_text>
          <pubmed_id>29642378</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Neuron</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <references>
        <reference>
          <reference_text>Wishart DS, Feunang YD, Marcu A, Guo AC, Liang K, Vazquez-Fresno R, Sajed T, Johnson D, Li C, Karu N, Sayeeda Z, Lo E, Assempour N, Berjanskii M, Singhal S, Arndt D, Liang Y, Badran H, Grant J, Serra-Cayuela A, Liu Y, Mandal R, Neveu V, Pon A, Knox C, Wilson M, Manach C, Scalbert A: HMDB 4.0: the human metabolome database for 2018. Nucleic Acids Res. 2018 Jan 4;46(D1):D608-D617. doi: 10.1093/nar/gkx1089.</reference_text>
          <pubmed_id>29140435</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Pancreas</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <references>
        <reference>
          <reference_text>Wishart DS, Feunang YD, Marcu A, Guo AC, Liang K, Vazquez-Fresno R, Sajed T, Johnson D, Li C, Karu N, Sayeeda Z, Lo E, Assempour N, Berjanskii M, Singhal S, Arndt D, Liang Y, Badran H, Grant J, Serra-Cayuela A, Liu Y, Mandal R, Neveu V, Pon A, Knox C, Wilson M, Manach C, Scalbert A: HMDB 4.0: the human metabolome database for 2018. Nucleic Acids Res. 2018 Jan 4;46(D1):D608-D617. doi: 10.1093/nar/gkx1089.</reference_text>
          <pubmed_id>29140435</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Platelet</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <references>
        <reference>
          <reference_text>Wishart DS, Feunang YD, Marcu A, Guo AC, Liang K, Vazquez-Fresno R, Sajed T, Johnson D, Li C, Karu N, Sayeeda Z, Lo E, Assempour N, Berjanskii M, Singhal S, Arndt D, Liang Y, Badran H, Grant J, Serra-Cayuela A, Liu Y, Mandal R, Neveu V, Pon A, Knox C, Wilson M, Manach C, Scalbert A: HMDB 4.0: the human metabolome database for 2018. Nucleic Acids Res. 2018 Jan 4;46(D1):D608-D617. doi: 10.1093/nar/gkx1089.</reference_text>
          <pubmed_id>29140435</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Prostate Tissue</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <references>
        <reference>
          <reference_text>Wishart DS, Feunang YD, Marcu A, Guo AC, Liang K, Vazquez-Fresno R, Sajed T, Johnson D, Li C, Karu N, Sayeeda Z, Lo E, Assempour N, Berjanskii M, Singhal S, Arndt D, Liang Y, Badran H, Grant J, Serra-Cayuela A, Liu Y, Mandal R, Neveu V, Pon A, Knox C, Wilson M, Manach C, Scalbert A: HMDB 4.0: the human metabolome database for 2018. Nucleic Acids Res. 2018 Jan 4;46(D1):D608-D617. doi: 10.1093/nar/gkx1089.</reference_text>
          <pubmed_id>29140435</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Ruminal Fluid</biospecimen>
      <concentration_value>22.9</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>By NMR. Primiparous Holstein cows fed barley grains (15% of diet dry matter)</comment>
      <references>
        <reference>
          <reference_text>Burim NA, Qendrim Z, Fozia S, Psychogios N, Michael JL, Dunn SM, Jianguo X, Wishart DS. Metabolomics reveals unhealthy alterations in rumen metabolism with increased proportion of cereal grain in the diet of dairy cows. Metabolomics. 2010;6(4):583-594   doi: 10.1007/s11306-010-0227-6</reference_text>
          <pubmed_id/>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Ruminal Fluid</biospecimen>
      <concentration_value>28</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>By NMR. Primiparous Holstein cows fed barley grains (30% of diet dry matter)</comment>
      <references>
        <reference>
          <reference_text>Burim NA, Qendrim Z, Fozia S, Psychogios N, Michael JL, Dunn SM, Jianguo X, Wishart DS. Metabolomics reveals unhealthy alterations in rumen metabolism with increased proportion of cereal grain in the diet of dairy cows. Metabolomics. 2010;6(4):583-594   doi: 10.1007/s11306-010-0227-6</reference_text>
          <pubmed_id/>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Ruminal Fluid</biospecimen>
      <concentration_value>71.9</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>By NMR. Primiparous Holstein cows fed barley grains (45% of diet dry matter)</comment>
      <references>
        <reference>
          <reference_text>Burim NA, Qendrim Z, Fozia S, Psychogios N, Michael JL, Dunn SM, Jianguo X, Wishart DS. Metabolomics reveals unhealthy alterations in rumen metabolism with increased proportion of cereal grain in the diet of dairy cows. Metabolomics. 2010;6(4):583-594   doi: 10.1007/s11306-010-0227-6</reference_text>
          <pubmed_id/>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Ruminal Fluid</biospecimen>
      <concentration_value>24.1</concentration_value>
      <concentration_units>uM</concentration_units>
      <comment>By NMR. Primiparous Holstein cows, no barley grains in diet.</comment>
      <references>
        <reference>
          <reference_text>Burim NA, Qendrim Z, Fozia S, Psychogios N, Michael JL, Dunn SM, Jianguo X, Wishart DS. Metabolomics reveals unhealthy alterations in rumen metabolism with increased proportion of cereal grain in the diet of dairy cows. Metabolomics. 2010;6(4):583-594   doi: 10.1007/s11306-010-0227-6</reference_text>
          <pubmed_id/>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Skeletal Muscle</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <references>
        <reference>
          <reference_text>Wishart DS, Feunang YD, Marcu A, Guo AC, Liang K, Vazquez-Fresno R, Sajed T, Johnson D, Li C, Karu N, Sayeeda Z, Lo E, Assempour N, Berjanskii M, Singhal S, Arndt D, Liang Y, Badran H, Grant J, Serra-Cayuela A, Liu Y, Mandal R, Neveu V, Pon A, Knox C, Wilson M, Manach C, Scalbert A: HMDB 4.0: the human metabolome database for 2018. Nucleic Acids Res. 2018 Jan 4;46(D1):D608-D617. doi: 10.1093/nar/gkx1089.</reference_text>
          <pubmed_id>29140435</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Spleen</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <references>
        <reference>
          <reference_text>Wishart DS, Feunang YD, Marcu A, Guo AC, Liang K, Vazquez-Fresno R, Sajed T, Johnson D, Li C, Karu N, Sayeeda Z, Lo E, Assempour N, Berjanskii M, Singhal S, Arndt D, Liang Y, Badran H, Grant J, Serra-Cayuela A, Liu Y, Mandal R, Neveu V, Pon A, Knox C, Wilson M, Manach C, Scalbert A: HMDB 4.0: the human metabolome database for 2018. Nucleic Acids Res. 2018 Jan 4;46(D1):D608-D617. doi: 10.1093/nar/gkx1089.</reference_text>
          <pubmed_id>29140435</pubmed_id>
        </reference>
      </references>
    </concentration>
    <concentration>
      <biospecimen>Testis</biospecimen>
      <concentration_value/>
      <concentration_units/>
      <references>
        <reference>
          <reference_text>Wishart DS, Feunang YD, Marcu A, Guo AC, Liang K, Vazquez-Fresno R, Sajed T, Johnson D, Li C, Karu N, Sayeeda Z, Lo E, Assempour N, Berjanskii M, Singhal S, Arndt D, Liang Y, Badran H, Grant J, Serra-Cayuela A, Liu Y, Mandal R, Neveu V, Pon A, Knox C, Wilson M, Manach C, Scalbert A: HMDB 4.0: the human metabolome database for 2018. Nucleic Acids Res. 2018 Jan 4;46(D1):D608-D617. doi: 10.1093/nar/gkx1089.</reference_text>
          <pubmed_id>29140435</pubmed_id>
        </reference>
      </references>
    </concentration>
  </normal_concentrations>
  <kegg_id>C00132</kegg_id>
  <chemspider_id>864</chemspider_id>
  <foodb_id>FDB008124</foodb_id>
  <drugbank_id/>
  <pubchem_compound_id>887</pubchem_compound_id>
  <pdbe_id/>
  <chebi_id>17790</chebi_id>
  <knapsack_id>C00050480</knapsack_id>
  <phenol_explorer_compound_id/>
  <meta_cyc_id>METOH</meta_cyc_id>
  <wikipedia_id>Methanol</wikipedia_id>
  <bigg_id>33974</bigg_id>
  <metlin_id>4201</metlin_id>
  <synthesis_reference>Cummings, Donald Ray.  Process for production of methanol from a methane gas stream.    PCT Int. Appl.  (2007),     21pp.</synthesis_reference>
  <general_references>
    <reference>
      <reference_text>O'Callaghan TF, Vazquez-Fresno R, Serra-Cayuela A, Dong E, Mandal R, Hennessy D, McAuliffe S, Dillon P, Wishart DS, Stanton C, Ross RP: Pasture Feeding Changes the Bovine Rumen and Milk Metabolome. Metabolites. 2018 Apr 6;8(2). pii: metabo8020027. doi: 10.3390/metabo8020027.</reference_text>
      <pubmed_id>29642378</pubmed_id>
    </reference>
    <reference>
      <reference_text>Brigitta Gaspardo et al. Determination of volatile fractions in raw milk and ripened cheese by means of GC-MS. Results of a survey performed in the marginal area between Italy and Slovenia. Italian Jounal of Animal Science Vol 8, 377-390, 2009</reference_text>
    </reference>
    <reference>
      <reference_text>A. Foroutan et al. The Chemical Composition of Commercial Cow's Milk (in preparation)</reference_text>
    </reference>
  </general_references>
  <protein_associations>
  </protein_associations>
</metabolite>
