标题
Exploiting structural information for drug-target assessment
作者
关键词
-
出版物
Future Medicinal Chemistry
Volume 6, Issue 3, Pages 319-331
出版商
Future Science, LTD
发表日期
2014-02-28
DOI
10.4155/fmc.14.3
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Design of Libraries Targeting Protein-Protein Interfaces
- (2013) David Fry et al. ChemMedChem
- One hundred thousand mouse clicks down the road: selected online resources supporting drug discovery collected over a decade
- (2013) Bruno O. Villoutreix et al. DRUG DISCOVERY TODAY
- Fast Protein Binding Site Comparison via an Index-Based Screening Technology
- (2013) Mathias M. von Behren et al. Journal of Chemical Information and Modeling
- TRAPP: A Tool for Analysis of Transient Binding Pockets in Proteins
- (2013) Daria B. Kokh et al. Journal of Chemical Information and Modeling
- Subpocket Analysis Method for Fragment-Based Drug Discovery
- (2013) Tuomo Kalliokoski et al. Journal of Chemical Information and Modeling
- Drug Promiscuity in PDB: Protein Binding Site Similarity Is Key
- (2013) V. Joachim Haupt et al. PLoS One
- Predicting enzymatic function from global binding site descriptors
- (2013) Andrea Volkamer et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Ligand-binding site prediction using ligand-interacting and binding site-enriched protein triangles
- (2012) Zhong-Ru Xie et al. BIOINFORMATICS
- Pharmacophore Fingerprint-Based Approach to Binding Site Subpocket Similarity and Its Application to Bioisostere Replacement
- (2012) David J. Wood et al. Journal of Chemical Information and Modeling
- Comparison and Druggability Prediction of Protein–Ligand Binding Sites from Pharmacophore-Annotated Cavity Shapes
- (2012) Jérémy Desaphy et al. Journal of Chemical Information and Modeling
- Development of a Rule-Based Method for the Assessment of Protein Druggability
- (2012) Emanuele Perola et al. Journal of Chemical Information and Modeling
- ProBiS-2012: web server and web services for detection of structurally similar binding sites in proteins
- (2012) J. Konc et al. NUCLEIC ACIDS RESEARCH
- Protein flexibility in docking and surface mapping
- (2012) Katrina W. Lexa et al. QUARTERLY REVIEWS OF BIOPHYSICS
- Druggability predictions: methods, limitations, and applications
- (2012) Xavier Barril Wiley Interdisciplinary Reviews-Computational Molecular Science
- Identification of cavities on protein surface using multiple computational approaches for drug binding site prediction
- (2011) Z. Zhang et al. BIOINFORMATICS
- MDpocket: open-source cavity detection and characterization on molecular dynamics trajectories
- (2011) Peter Schmidtke et al. BIOINFORMATICS
- Comparative Modeling: The State of the Art and Protein Drug Target Structure Prediction
- (2011) Tianyun Liu et al. COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING
- Fragment screening to predict druggability (ligandability) and lead discovery success
- (2011) Fredrik N.B. Edfeldt et al. DRUG DISCOVERY TODAY
- DrugPred: A Structure-Based Approach To Predict Protein Druggability Developed Using an Extensive Nonredundant Data Set
- (2011) Agata Krasowski et al. Journal of Chemical Information and Modeling
- Pocket-Space Maps To Identify Novel Binding-Site Conformations in Proteins
- (2011) Ian R. Craig et al. Journal of Chemical Information and Modeling
- Combining Global and Local Measures for Structure-Based Druggability Predictions
- (2011) Andrea Volkamer et al. Journal of Chemical Information and Modeling
- Virtual screening for compounds that mimic protein-protein interface epitopes
- (2011) Tim Geppert et al. JOURNAL OF COMPUTATIONAL CHEMISTRY
- Critical assessment of methods of protein structure prediction (CASP)-round IX
- (2011) John Moult et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- An overview of in silico protein function prediction
- (2010) Roy D. Sleator et al. ARCHIVES OF MICROBIOLOGY
- Alignment-Free Ultra-High-Throughput Comparison of Druggable Protein−Ligand Binding Sites
- (2010) Nathanaël Weill et al. Journal of Chemical Information and Modeling
- Analyzing the Topology of Active Sites: On the Prediction of Pockets and Subpockets
- (2010) Andrea Volkamer et al. Journal of Chemical Information and Modeling
- Drug-like Density: A Method of Quantifying the “Bindability” of a Protein Target Based on a Very Large Set of Pockets and Drug-like Ligands from the Protein Data Bank
- (2010) Robert P. Sheridan et al. Journal of Chemical Information and Modeling
- Understanding and Predicting Druggability. A High-Throughput Method for Detection of Drug Binding Sites
- (2010) Peter Schmidtke et al. JOURNAL OF MEDICINAL CHEMISTRY
- Using protein-ligand docking to assess the chemical tractability of inhibiting a protein target
- (2010) Richard A. Ward JOURNAL OF MOLECULAR MODELING
- Atomic-Level Characterization of the Structural Dynamics of Proteins
- (2010) D. E. Shaw et al. SCIENCE
- Quantitative Comparison of Catalytic Mechanisms and Overall Reactions in Convergently Evolved Enzymes: Implications for Classification of Enzyme Function
- (2010) Daniel E. Almonacid et al. PLoS Computational Biology
- Prediction of sub-cavity binding preferences using an adaptive physicochemical structure representation
- (2009) I. Wallach et al. BIOINFORMATICS
- Roll: a new algorithm for the detection of protein pockets and cavities with a rolling probe sphere
- (2009) Jian Yu et al. BIOINFORMATICS
- PocketMatch: A new algorithm to compare binding sites in protein structures
- (2009) Kalidas Yeturu et al. BMC BIOINFORMATICS
- Fpocket: An open source platform for ligand pocket detection
- (2009) Vincent Le Guilloux et al. BMC BIOINFORMATICS
- FINDSITE: a combined evolution/structure-based approach to protein function prediction
- (2009) J. Skolnick et al. BRIEFINGS IN BIOINFORMATICS
- Computational Fragment-Based Approach at PDB Scale by Protein Local Similarity
- (2009) Fabrice Moriaud et al. Journal of Chemical Information and Modeling
- Identifying and Characterizing Binding Sites and Assessing Druggability
- (2009) Thomas A. Halgren Journal of Chemical Information and Modeling
- Tess: A geometric hashing algorithm for deriving 3D coordinate templates for searching structural databases. Application to enzyme active sites
- (2009) Andrew C. Wallace et al. PROTEIN SCIENCE
- Detection of multiscale pockets on protein surfaces using mathematical morphology
- (2009) Takeshi Kawabata PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Structure is three to ten times more conserved than sequence-A study of structural response in protein cores
- (2009) Kristoffer Illergård et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Form follows function: Shape analysis of protein cavities for receptor-based drug design
- (2009) Martin Weisel et al. PROTEOMICS
- Drug Discovery Using Chemical Systems Biology: Repositioning the Safe Medicine Comtan to Treat Multi-Drug and Extensively Drug Resistant Tuberculosis
- (2009) Sarah L. Kinnings et al. PLoS Computational Biology
- Detection of 3D atomic similarities and their use in the discrimination of small molecule protein-binding sites
- (2008) R. Najmanovich et al. BIOINFORMATICS
- Biological sequence classification utilizing positive and unlabeled data
- (2008) Yuanyuan Xiao et al. BIOINFORMATICS
- How to Measure the Similarity Between Protein Ligand-Binding Sites?
- (2008) Esther Kellenberger et al. Current Computer-Aided Drug Design
- Predicting druggable binding sites at the protein–protein interface
- (2008) Jonathan C. Fuller et al. DRUG DISCOVERY TODAY
- A structural biology view of target drugability
- (2008) Ursula Egner et al. Expert Opinion on Drug Discovery
- A simple and fuzzy method to align and compare druggable ligand-binding sites
- (2008) Claire Schalon et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Method for comparing the structures of protein ligand-binding sites and application for predicting protein-drug interactions
- (2008) Ryoichi Minai et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
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