about
IDAAPM: integrated database of ADMET and adverse effects of predictive modeling based on FDA approved drug dataApplying linear and non-linear methods for parallel prediction of volume of distribution and fraction of unbound drugScreening and characterisation of antimicrobial properties of semisynthetic betulin derivativesStructural Isosteres of Phosphate Groups in the Protein Data Bank.Exploring the structure-activity relationships of ABCC2 modulators using a screening approach.A structure-activity relationship study of ABCC2 inhibitors.Predictive Modeling of Ocular Pharmacokinetics and Adverse Effects.Integrated in vitro-in silico screening strategy for the discovery of antibacterial compounds.SVM classification and CoMSIA modeling of UGT1A6 interacting molecules.Retrospective molecular docking study of WY-25105 ligand to β-secretase and bias of the three-dimensional structure flexibility.Predictive classification models and targets identification for betulin derivatives as Leishmania donovani inhibitorsAdenosine analogs bearing phosphate isosteres as human MDO1 ligandsTamoxifen mechanically deactivates hepatic stellate cells via the G protein-coupled estrogen receptor
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Q27902312-A094C4F6-10CB-4885-8B4D-56DB9C2F0DB2Q28534159-A17F4D49-DF02-44DF-A84A-86DBA1C6E692Q28540869-36D9BAE1-E33A-4AAC-8A2F-7F270CAED372Q31165737-2E798F6E-7B7A-4BEF-96C5-1F7A29FFABEEQ35620872-7DE2732D-2F51-4622-881C-D7415CF2ABA1Q36276676-6FEB9C8A-CCAE-47A5-BE95-79452A8DA02EQ39350113-D88393E8-8C36-4A6A-9B32-7CD8117712F3Q41467024-33DFB470-FFC9-4E71-927A-A40960074822Q43821715-A54F097D-8D25-41C0-9064-F7FC879E0C0CQ46437880-A79FC669-6347-4303-861C-2DFB67956E8AQ58771494-14BCBD5F-D242-49A3-978A-04A62AB49992Q61659473-03CEDEB6-E5A2-487C-A82B-CE3B882C375BQ90695373-02B4C9CC-3269-47AB-94D7-FFE6E57DF0C2
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description
investigador
@es
researcher
@en
name
Leo Ghemtio
@en
type
label
Leo Ghemtio
@en
prefLabel
Leo Ghemtio
@en
P31
P496
0000-0003-3591-5676