Ultrafast shape recognition: method and applications.
暂无分享,去创建一个
[1] Florian Nigsch,et al. A novel hybrid ultrafast shape descriptor method for use in virtual screening , 2008, Chemistry Central journal.
[2] Jürgen Bajorath,et al. Towards Unified Compound Screening Strategies: A Critical Evaluation of Error Sources in Experimental and Virtual High‐Throughput Screening , 2006 .
[3] Brian K. Shoichet,et al. ZINC - A Free Database of Commercially Available Compounds for Virtual Screening , 2005, J. Chem. Inf. Model..
[4] Pedro J. Ballester,et al. Ultrafast shape recognition for similarity search in molecular databases , 2007, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[5] Pedro J Ballester,et al. Prospective virtual screening with Ultrafast Shape Recognition: the identification of novel inhibitors of arylamine N-acetyltransferases , 2010, Journal of The Royal Society Interface.
[6] N Sukumar,et al. Bioinformatics and cheminformatics: where do the twain meet? , 2008, Current opinion in drug discovery & development.
[7] Paul W Finn,et al. Ultrafast shape recognition: evaluating a new ligand-based virtual screening technology. , 2009, Journal of molecular graphics & modelling.
[8] W. Graham Richards,et al. Ultrafast shape recognition to search compound databases for similar molecular shapes , 2007, J. Comput. Chem..
[9] Jerry O Ebalunode,et al. Molecular shape technologies in drug discovery: methods and applications. , 2010, Current topics in medicinal chemistry.
[10] Tudor I. Oprea,et al. A crowdsourcing evaluation of the NIH chemical probes. , 2009, Nature chemical biology.
[11] Tom Blundell,et al. CREDO: A Protein–Ligand Interaction Database for Drug Discovery , 2009, Chemical biology & drug design.
[12] Gisbert Schneider,et al. Virtual screening: an endless staircase? , 2010, Nature Reviews Drug Discovery.
[13] John B. O. Mitchell,et al. A machine learning approach to predicting protein-ligand binding affinity with applications to molecular docking , 2010, Bioinform..
[14] Christian N Parker,et al. McMaster University Data-Mining and Docking Competition , 2005, Journal of biomolecular screening.
[15] T. Peakman,et al. Delivering the power of discovery in large pharmaceutical organizations. , 2003, Drug discovery today.
[16] Honglin Li,et al. Identification of novel falcipain-2 inhibitors as potential antimalarial agents through structure-based virtual screening. , 2009, Journal of medicinal chemistry.
[17] Ajay N. Jain,et al. Molecular Shape and Medicinal Chemistry: A Perspective , 2010, Journal of medicinal chemistry.
[18] A. Caflisch,et al. Structure-based optimization of potent and selective inhibitors of the tyrosine kinase erythropoietin producing human hepatocellular carcinoma receptor B4 (EphB4). , 2009, Journal of medicinal chemistry.
[19] Ricardo Macarron,et al. Enhancements of screening collections to address areas of unmet medical need: an industry perspective. , 2010, Current opinion in chemical biology.
[20] J. A. Grant,et al. A Gaussian Description of Molecular Shape , 1995 .
[21] Jocelyn Kaiser,et al. Industrial-Style Screening Meets Academic Biology , 2008, Science.
[22] Simona Distinto,et al. How To Optimize Shape-Based Virtual Screening: Choosing the Right Query and Including Chemical Information , 2009, J. Chem. Inf. Model..
[23] Rajarshi Guha,et al. Advances in cheminformatics methodologies and infrastructure to support the data mining of large, heterogeneous chemical datasets. , 2010, Current computer-aided drug design.
[24] Raman Sharma,et al. ElectroShape: fast molecular similarity calculations incorporating shape, chirality and electrostatics , 2010, J. Comput. Aided Mol. Des..
[25] A. Hopkins. Network pharmacology: the next paradigm in drug discovery. , 2008, Nature chemical biology.
[26] J. Dairou,et al. Human arylamine N-acetyltransferase 1: a drug-metabolizing enzyme and a drug target? , 2010, Current Drug Targets.
[27] John J. Irwin,et al. Community benchmarks for virtual screening , 2008, J. Comput. Aided Mol. Des..
[28] Tom L. Blundell,et al. BIPA: a database for protein-nucleic acid interaction in 3D structures , 2009, Bioinform..
[29] Harold Soh,et al. Discovering Unique, Low-Energy Pure Water Isomers: Memetic Exploration, Optimization, and Landscape Analysis , 2010, IEEE Transactions on Evolutionary Computation.
[30] Sean Ekins,et al. The importance of discerning shape in molecular pharmacology. , 2009, Trends in pharmacological sciences.
[31] Amedeo Caflisch,et al. Complementing ultrafast shape recognition with an optical isomerism descriptor. , 2010, Journal of molecular graphics & modelling.
[32] S. Vasudevan,et al. Mining free compound databases to identify candidates selected by virtual screening , 2009, Expert opinion on drug discovery.
[33] Guillermo Moyna,et al. Shape signatures: a new approach to computer-aided ligand- and receptor-based drug design. , 2003, Journal of medicinal chemistry.
[34] Jürgen Bajorath,et al. Evaluating the High-Throughput Screening Computations , 2005, Journal of biomolecular screening.
[35] Janet M. Thornton,et al. Real spherical harmonic expansion coefficients as 3D shape descriptors for protein binding pocket and ligand comparisons , 2005, Bioinform..
[36] Qian Zhu,et al. WENDI: A tool for finding non-obvious relationships between compounds and biological properties, genes, diseases and scholarly publications , 2010, J. Cheminformatics.
[37]
Harold Soh,et al.
Multiscale approach to explore the potential energy surface of water clusters (H2O)nn
[38] C. Dobson. Chemical space and biology , 2004, Nature.
[39] Garrett M. Morris,et al. Molecular similarity including chirality. , 2009, Journal of molecular graphics & modelling.
[40] J. Irwin,et al. Benchmarking sets for molecular docking. , 2006, Journal of medicinal chemistry.
[41] Christopher I. Bayly,et al. Evaluating Virtual Screening Methods: Good and Bad Metrics for the "Early Recognition" Problem , 2007, J. Chem. Inf. Model..