DrugPred: a structure-based approach to predict protein druggability developed using an extensive nonredundant data set.
about
The AEROPATH project targetingPseudomonas aeruginosa: crystallographic studies for assessment of potential targets in early-stage drug discoveryImproving protein-ligand binding site prediction accuracy by classification of inner pocket points using local featuresTo Hit or Not to Hit, That Is the Question - Genome-wide Structure-Based Druggability Predictions for Pseudomonas aeruginosa ProteinsTuberQ: a Mycobacterium tuberculosis protein druggability databasePockDrug-Server: a new web server for predicting pocket druggability on holo and apo proteins.Large-scale reverse docking profiles and their applications.sc-PDB: a 3D-database of ligandable binding sites--10 years onNew Frontiers in DruggabilityScaling the druggability landscape of human bromodomains, a new class of drug targets.Pocket-based drug design: exploring pocket spaceTarget-based drug discovery for human African trypanosomiasis: selection of molecular target and chemical matter.Chemogenomics in drug discovery: computational methods based on the comparison of binding sites.Exploiting structural information for drug-target assessment.Reverse docking: a powerful tool for drug repositioning and drug rescue.PharmMapper 2017 update: a web server for potential drug target identification with a comprehensive target pharmacophore database.Can We Rely on Computational Predictions To Correctly Identify Ligand Binding Sites on Novel Protein Drug Targets? Assessment of Binding Site Prediction Methods and a Protocol for Validation of Predicted Binding Sites.Identifying druggable targets by protein microenvironments matching: application to transcription factorsDruggability analysis and structural classification of bromodomain acetyl-lysine binding sitesConcise Synthesis of Tetrazole MacrocycleNovel drug targets in cell wall biosynthesis exploited by gene disruption in Pseudomonas aeruginosa.Statistical Profiling of One Promiscuous Protein Binding Site: Illustrated by Urokinase Catalytic Domain.Computational Methods to Support Fragment-based Drug Discovery
P2860
Q27675787-77F5833E-7B2F-413E-A5EB-A45F3F94D9D6Q27902352-5ECFE260-D96D-402A-B6E8-2EC398312AEFQ28547877-AA9B96A0-ED35-4955-ACAC-0E8DCD052E42Q30362399-0CCC3F3F-ED4B-4A54-95CA-33D45C1BAC10Q30374520-EA7533F8-6F60-4D89-B0E9-AFBC1863C428Q30425422-EDA5E068-7911-400D-8155-ED521FACF797Q35254711-56143823-5202-4728-834F-6E640C5F47A4Q35730955-E3933BE5-A6F3-47A6-9B7D-C5C35589EFFFQ36266769-BAB0890A-F3AA-40BE-AE31-949A6FD9362CQ36502439-29C844B9-7CF5-4168-ACBA-F0935391D382Q37449692-AE3521E4-0AF3-443D-8D33-D38DA7109B7BQ38054135-C4C6250A-05C7-4006-91E3-ABC3A014160EQ38191683-1EDFCB60-54DF-4FA3-B220-D35E24887BC2Q38191684-748C2888-C01A-4A3C-879D-675548AAF5F0Q38804026-C3A95C97-8C62-42C0-B9AD-AA1F3F4DE8EBQ38994734-747431A6-9F55-4758-B285-D9C6B3441B53Q41905622-8666669F-ED5F-421E-9271-0BF1A9BA8F5BQ41992499-AB41A2B5-B302-41FC-87BB-926EA77EBA2AQ42267846-0F6FE132-01FD-4BDD-BAC3-C2F4C0E0DBDDQ42680076-19BF42C2-1D58-46C1-BC93-FD952CD5337FQ50897379-E5C4F7FF-DA86-4B00-83B8-9EECD83BA8A2Q58488998-CB6847D5-61B1-458E-8BF3-2B4DE9FDD1EF
P2860
DrugPred: a structure-based approach to predict protein druggability developed using an extensive nonredundant data set.
description
2011 nî lūn-bûn
@nan
2011 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
DrugPred: a structure-based ap ...... tensive nonredundant data set.
@ast
DrugPred: a structure-based ap ...... tensive nonredundant data set.
@en
DrugPred: a structure-based ap ...... tensive nonredundant data set.
@nl
type
label
DrugPred: a structure-based ap ...... tensive nonredundant data set.
@ast
DrugPred: a structure-based ap ...... tensive nonredundant data set.
@en
DrugPred: a structure-based ap ...... tensive nonredundant data set.
@nl
prefLabel
DrugPred: a structure-based ap ...... tensive nonredundant data set.
@ast
DrugPred: a structure-based ap ...... tensive nonredundant data set.
@en
DrugPred: a structure-based ap ...... tensive nonredundant data set.
@nl
P50
P356
P1476
DrugPred: a structure-based ap ...... tensive nonredundant data set.
@en
P2093
Agata Krasowski
Stefan Schmitt
P304
P356
10.1021/CI200266D
P577
2011-10-13T00:00:00Z