PMC:7544943 / 18180-18905 JSONTXT

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T83","span":{"begin":17,"end":20},"obj":"http://purl.obolibrary.org/obo/UBERON_0001013"},{"id":"T84","span":{"begin":37,"end":38},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T85","span":{"begin":85,"end":88},"obj":"http://purl.obolibrary.org/obo/UBERON_0001013"}],"text":"Lipophilicity or fat friendliness of a molecule defines the dissolving capability in fat, oil or any non-polar solvent (Lindsley, 2010). The water n-octanol partition coefficient (log Po/w) is used as the measure of lipophilicity (Constantinescu et al., 2019). Various computational methods are developed for the estimation of log Po/w for diverse performance upon different chemical sets. The SwissADME provides five different predictive models such as XLOGP3 (Cheng et al., 2007), WLOGP (Wildman \u0026 Crippen, 1999), MLOGP (Moriguchi et al., 1992), SILICOS-IT (http://silicos-it.be.s3-website-eu-west-1.amazonaws.com/software/filter-it/1.0.2/filter-it.html, 2016) and iLOGP (Daina et al., 2014) for better prediction accuracy."}

{"project":"LitCovid-PubTator","denotations":[{"id":"286","span":{"begin":141,"end":146},"obj":"Chemical"},{"id":"287","span":{"begin":147,"end":156},"obj":"Chemical"}],"attributes":[{"id":"A286","pred":"tao:has_database_id","subj":"286","obj":"MESH:D014867"},{"id":"A287","pred":"tao:has_database_id","subj":"287","obj":"MESH:D020003"}],"namespaces":[{"prefix":"Tax","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"},{"prefix":"MESH","uri":"https://id.nlm.nih.gov/mesh/"},{"prefix":"Gene","uri":"https://www.ncbi.nlm.nih.gov/gene/"},{"prefix":"CVCL","uri":"https://web.expasy.org/cellosaurus/CVCL_"}],"text":"Lipophilicity or fat friendliness of a molecule defines the dissolving capability in fat, oil or any non-polar solvent (Lindsley, 2010). The water n-octanol partition coefficient (log Po/w) is used as the measure of lipophilicity (Constantinescu et al., 2019). Various computational methods are developed for the estimation of log Po/w for diverse performance upon different chemical sets. The SwissADME provides five different predictive models such as XLOGP3 (Cheng et al., 2007), WLOGP (Wildman \u0026 Crippen, 1999), MLOGP (Moriguchi et al., 1992), SILICOS-IT (http://silicos-it.be.s3-website-eu-west-1.amazonaws.com/software/filter-it/1.0.2/filter-it.html, 2016) and iLOGP (Daina et al., 2014) for better prediction accuracy."}

{"project":"LitCovid-sentences","denotations":[{"id":"T167","span":{"begin":0,"end":136},"obj":"Sentence"},{"id":"T168","span":{"begin":137,"end":260},"obj":"Sentence"},{"id":"T169","span":{"begin":261,"end":389},"obj":"Sentence"},{"id":"T170","span":{"begin":390,"end":725},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Lipophilicity or fat friendliness of a molecule defines the dissolving capability in fat, oil or any non-polar solvent (Lindsley, 2010). The water n-octanol partition coefficient (log Po/w) is used as the measure of lipophilicity (Constantinescu et al., 2019). Various computational methods are developed for the estimation of log Po/w for diverse performance upon different chemical sets. The SwissADME provides five different predictive models such as XLOGP3 (Cheng et al., 2007), WLOGP (Wildman \u0026 Crippen, 1999), MLOGP (Moriguchi et al., 1992), SILICOS-IT (http://silicos-it.be.s3-website-eu-west-1.amazonaws.com/software/filter-it/1.0.2/filter-it.html, 2016) and iLOGP (Daina et al., 2014) for better prediction accuracy."}

{"project":"2_test","denotations":[{"id":"32938313-17985865-56197387","span":{"begin":476,"end":480},"obj":"17985865"},{"id":"32938313-25382374-56197388","span":{"begin":688,"end":692},"obj":"25382374"}],"text":"Lipophilicity or fat friendliness of a molecule defines the dissolving capability in fat, oil or any non-polar solvent (Lindsley, 2010). The water n-octanol partition coefficient (log Po/w) is used as the measure of lipophilicity (Constantinescu et al., 2019). Various computational methods are developed for the estimation of log Po/w for diverse performance upon different chemical sets. The SwissADME provides five different predictive models such as XLOGP3 (Cheng et al., 2007), WLOGP (Wildman \u0026 Crippen, 1999), MLOGP (Moriguchi et al., 1992), SILICOS-IT (http://silicos-it.be.s3-website-eu-west-1.amazonaws.com/software/filter-it/1.0.2/filter-it.html, 2016) and iLOGP (Daina et al., 2014) for better prediction accuracy."}