about
The ChEMBL database in 2017Knocking down the obstacles to functional genomics data sharing.Virtual Screening against Phosphoglycerate Kinase 1 in Quest of Novel Apoptosis Inhibitors.Exploring Protein-Protein Interactions as Drug Targets for Anti-cancer Therapy with In Silico Workflows.On the Integration of In Silico Drug Design Methods for Drug Repurposing.Network-based Approaches in Pharmacology.Structure-based identification of inhibitors targeting obstruction of the HIVgp41 N-heptad repeat trimer.Integrative cancer pharmacogenomics to establish drug mechanism of action: drug repurposing.NPASS: natural product activity and species source database for natural product research, discovery and tool development.Drug knowledge bases and their applications in biomedical informatics research.Drug Target Commons: A Community Effort to Build a Consensus Knowledge Base for Drug-Target Interactions.CLC-Pred: A freely available web-service for in silico prediction of human cell line cytotoxicity for drug-like compounds.Web-based drug repurposing tools: a survey.Molecular Connectivity Predefines Polypharmacology: Aliphatic Rings, Chirality, and sp3 Centers Enhance Target Selectivity.Seven Year Itch: Pan-Assay Interference Compounds (PAINS) in 2017-Utility and Limitations.Identification of New Potential APE1 Inhibitors by Pharmacophore Modeling and Molecular Docking.Structural ensemble-based docking simulation and biophysical studies discovered new inhibitors of Hsp90 N-terminal domain.Metallochaperone UreG serves as a new target for design of urease inhibitor: A novel strategy for development of antimicrobials.Decoys Selection in Benchmarking Datasets: Overview and Perspectives.Database of resistance related metabolites in Wheat Fusarium head blight Disease (MWFD).Maximizing gain in high-throughput screening using conformal prediction.RNA Interference (RNAi) Screening in Drosophila.IMPACT web portal: oncology database integrating molecular profiles with actionable therapeutics.Drug Repositioning in Glioblastoma: A Pathway Perspective.High-throughput screen of drug repurposing library identifies inhibitors of Sarcocystis neurona growth.A guideline for reporting experimental protocols in life sciences.Data-driven analysis of biomedical literature suggests broad-spectrum benefits of culinary herbs and spices.Identification of drug-target interaction by a random walk with restart method on an interactome network.An update on PUG-REST: RESTful interface for programmatic access to PubChem.Prediction of Compound Profiling Matrices Using Machine Learning.PubChem chemical structure standardizationPubChem BioAssay: A Decade's Development toward Open High-Throughput Screening Data SharingDatabase resources of the National Center for Biotechnology InformationComputationally derived compound profiling matricesFoundations of data-driven medicinal chemistryDeep reinforcement learning for de novo drug designNetwork-Based Methods for Prediction of Drug-Target InteractionsOpen chemoinformatic resources to explore the structure, properties and chemical space of moleculesComparison of Quantitative and Qualitative (Q)SAR Models Created for the Prediction of K and IC Values of Antitarget InhibitorsPredicting Off-Target Binding Profiles With Confidence Using Conformal Prediction
P2860
Q28584450-210ED2F9-C35B-4C2C-BE60-BBACA28BF159Q36293771-089D8108-9CD9-4368-A3E2-365EF91984B0Q36411105-CC625848-A37E-493C-B6A8-D11836387EC4Q38624559-20DC3F0E-810C-4417-A084-E0DF8065CC36Q38674008-37F5EB82-4DA8-41E7-B7B3-5DFE3B14E911Q38686574-AD7AA008-C654-4028-9A27-320FD1373220Q40180218-8B3B797F-2325-42E2-A179-40B32165371EQ45944710-789EECBD-6E8F-425D-A8F4-8BB59AD5349FQ46268156-5077E3A9-9278-4C16-8A65-0985C514BB04Q47205411-20C3702C-1DB4-4AC6-A07D-7434F2292B9FQ47252031-C4E1CB11-DD50-4FB9-8183-4F24F73A0841Q47556436-A3AD750F-25AD-47E3-9161-ADA27B14FCDEQ47801769-FC160FE6-3BAA-4DF7-A50C-9D0E671BC1C1Q47819744-D0F03BA8-A245-40A4-B295-CD84254FEC62Q48185720-BD727D06-7352-4601-9154-E7734E472240Q48298859-0260C090-6570-4E5B-9B00-9A8975F69158Q48542611-50F48989-79DC-41C0-9E41-69FD107E31A3Q48543213-AFCD6F2F-988C-4AC2-85E3-00B06227B2C4Q49221491-F7CB8499-B5FC-404D-B085-87AE5930183CQ50002820-73567576-0691-48F8-AFBF-895D039821BBQ50320785-E92C393A-87A5-4E30-AAE8-8510DAD725B8Q52430521-1E9B5B90-6528-4CD0-BDF8-286C3ED4DBFBQ52561811-F6505CA1-3153-4FA2-BE87-012993D87C3FQ52608766-8CBBABB1-E2C4-4C63-A68D-28D9DBEB1A87Q52652058-E6D672D4-51A4-49C0-B1D6-7531BD64CF96Q55031410-BF4D3A68-6348-4D5C-9FA2-1D6E5A026E01Q55231890-7A95294A-C78E-4E3F-9804-AA717C858402Q55299573-A0BAEB2D-E03A-4DCC-A82F-7C20F05A4B88Q55518730-07B3B832-502F-472D-902C-053216B4F861Q55691676-F9CCCFFA-F347-447B-87AD-F5ABEB472524Q56084686-775D8FDC-2501-4EEA-8069-BBC5A4EFBD67Q56481410-8E1EAA11-500D-444E-89CD-7DB797437789Q56525291-AF251CF3-F87D-419E-9408-2D069D1509EAQ57138752-E599EE08-EF42-4D49-84EB-1CD9459140E8Q57143195-93CA5046-F212-46CA-8B95-9753D92025B8Q57425404-A6EEC2C3-3169-49D9-BE56-FDAB83DA3409Q57816959-E4CA75D8-F7A8-4A10-B3AE-1B469BEEA1B8Q57832760-8EE9D97E-2F73-4767-8432-743148405D82Q58576167-6A5DA152-8F83-499C-9921-897AB207EFF1Q59127396-035A9588-09EC-4BA8-93F9-1D81BD808C42
P2860
description
2017 nî lūn-bûn
@nan
2017 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2017 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
name
PubChem BioAssay: 2017 update
@ast
PubChem BioAssay: 2017 update
@en
PubChem BioAssay: 2017 update
@nl
type
label
PubChem BioAssay: 2017 update
@ast
PubChem BioAssay: 2017 update
@en
PubChem BioAssay: 2017 update
@nl
prefLabel
PubChem BioAssay: 2017 update
@ast
PubChem BioAssay: 2017 update
@en
PubChem BioAssay: 2017 update
@nl
P2093
P2860
P356
P1476
PubChem BioAssay: 2017 update
@en
P2093
Asta Gindulyte
Benjamin A Shoemaker
Jian Zhang
Jiyao Wang
Paul A Thiessen
Tiejun Cheng
Yanli Wang
P2860
P304
P356
10.1093/NAR/GKW1118
P407
P577
2017-01-04T00:00:00Z