A critical assessment of the performance of protein-ligand scoring functions based on NMR chemical shift perturbations.
暂无分享,去创建一个
[1] Thomas Simonson,et al. Free energy simulations come of age: protein-ligand recognition. , 2002, Accounts of chemical research.
[2] Brian L Claus,et al. Protein-ligand NOE matching: a high-throughput method for binding pose evaluation that does not require protein NMR resonance assignments. , 2006, Journal of the American Chemical Society.
[3] Hege S. Beard,et al. Glide: a new approach for rapid, accurate docking and scoring. 2. Enrichment factors in database screening. , 2004, Journal of medicinal chemistry.
[4] Peter A. Kollman,et al. FREE ENERGY CALCULATIONS : APPLICATIONS TO CHEMICAL AND BIOCHEMICAL PHENOMENA , 1993 .
[5] Thomas Lengauer,et al. A fast flexible docking method using an incremental construction algorithm. , 1996, Journal of molecular biology.
[6] C. E. Peishoff,et al. A critical assessment of docking programs and scoring functions. , 2006, Journal of medicinal chemistry.
[7] C. Sich,et al. Solution structure of a neurotrophic ligand bound to FKBP12 and its effects on protein dynamics. , 2000, European journal of biochemistry.
[8] Matthew P. Repasky,et al. Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy. , 2004, Journal of medicinal chemistry.
[9] Natasja Brooijmans,et al. Molecular recognition and docking algorithms. , 2003, Annual review of biophysics and biomolecular structure.
[10] M Rarey,et al. Detailed analysis of scoring functions for virtual screening. , 2001, Journal of medicinal chemistry.
[11] Luhua Lai,et al. Further development and validation of empirical scoring functions for structure-based binding affinity prediction , 2002, J. Comput. Aided Mol. Des..
[12] Bernd Meyer,et al. Characterization of Ligand Binding by Saturation Transfer Difference NMR Spectroscopy. , 1999, Angewandte Chemie.
[13] J. A. Grant,et al. Gaussian docking functions. , 2003, Biopolymers.
[14] Hans-Joachim Böhm,et al. Prediction of binding constants of protein ligands: A fast method for the prioritization of hits obtained from de novo design or 3D database search programs , 1998, J. Comput. Aided Mol. Des..
[15] Renxiao Wang,et al. Comparative evaluation of 11 scoring functions for molecular docking. , 2003, Journal of medicinal chemistry.
[16] Brian K. Shoichet,et al. Virtual screening of chemical libraries , 2004, Nature.
[17] D J Diller,et al. High throughput docking for library design and library prioritization , 2001, Proteins.
[18] G. V. Paolini,et al. Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes , 1997, J. Comput. Aided Mol. Des..
[19] K. Merz,et al. Fast semiempirical calculations for nuclear magnetic resonance chemical shifts: a divide-and-conquer approach. , 2004, The Journal of chemical physics.
[20] E. Jaeger,et al. Docking: successes and challenges. , 2005, Current pharmaceutical design.
[21] D. Diller,et al. Kinases, homology models, and high throughput docking. , 2003, Journal of medicinal chemistry.
[22] M L Lamb,et al. Computational approaches to molecular recognition. , 1997, Current opinion in chemical biology.
[23] J. Alvarez. High-throughput docking as a source of novel drug leads. , 2004, Current opinion in chemical biology.
[24] D. Rognan,et al. Protein-based virtual screening of chemical databases. 1. Evaluation of different docking/scoring combinations. , 2000, Journal of medicinal chemistry.
[25] J. Bajorath,et al. Docking and scoring in virtual screening for drug discovery: methods and applications , 2004, Nature Reviews Drug Discovery.
[26] P. Hajduk,et al. SOS-NMR: a saturation transfer NMR-based method for determining the structures of protein-ligand complexes. , 2004, Journal of the American Chemical Society.
[27] Todd J. A. Ewing,et al. DOCK 4.0: Search strategies for automated molecular docking of flexible molecule databases , 2001, J. Comput. Aided Mol. Des..
[28] P. Kollman,et al. A Second Generation Force Field for the Simulation of Proteins, Nucleic Acids, and Organic Molecules , 1995 .
[29] R Abagyan,et al. High-throughput docking for lead generation. , 2001, Current opinion in chemical biology.
[30] David S. Goodsell,et al. Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function , 1998 .
[31] Kenneth M Merz,et al. Pose scoring by NMR. , 2004, Journal of the American Chemical Society.
[32] G. Klebe,et al. Approaches to the description and prediction of the binding affinity of small-molecule ligands to macromolecular receptors. , 2002, Angewandte Chemie.
[33] Aniko Simon,et al. eHiTS: an innovative approach to the docking and scoring function problems. , 2006, Current protein & peptide science.
[34] G. Klebe,et al. Knowledge-based scoring function to predict protein-ligand interactions. , 2000, Journal of molecular biology.
[35] Holger Gohlke,et al. The Amber biomolecular simulation programs , 2005, J. Comput. Chem..
[36] Y. Martin,et al. A general and fast scoring function for protein-ligand interactions: a simplified potential approach. , 1999, Journal of medicinal chemistry.