These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
2. Toward fully automated high performance computing drug discovery: a massively parallel virtual screening pipeline for docking and molecular mechanics/generalized Born surface area rescoring to improve enrichment. Zhang X; Wong SE; Lightstone FC J Chem Inf Model; 2014 Jan; 54(1):324-37. PubMed ID: 24358939 [TBL] [Abstract][Full Text] [Related]
3. Reranking docking poses using molecular simulations and approximate free energy methods. Lauro G; Ferruz N; Fulle S; Harvey MJ; Finn PW; De Fabritiis G J Chem Inf Model; 2014 Aug; 54(8):2185-9. PubMed ID: 25046765 [TBL] [Abstract][Full Text] [Related]
4. E-novo: an automated workflow for efficient structure-based lead optimization. Pearce BC; Langley DR; Kang J; Huang H; Kulkarni A J Chem Inf Model; 2009 Jul; 49(7):1797-809. PubMed ID: 19552372 [TBL] [Abstract][Full Text] [Related]
5. Exploring protein flexibility: incorporating structural ensembles from crystal structures and simulation into virtual screening protocols. Osguthorpe DJ; Sherman W; Hagler AT J Phys Chem B; 2012 Jun; 116(23):6952-9. PubMed ID: 22424156 [TBL] [Abstract][Full Text] [Related]
6. Nonlinear scoring functions for similarity-based ligand docking and binding affinity prediction. Brylinski M J Chem Inf Model; 2013 Nov; 53(11):3097-112. PubMed ID: 24171431 [TBL] [Abstract][Full Text] [Related]
7. Virtual Screening Using Pharmacophore Models Retrieved from Molecular Dynamic Simulations. Polishchuk P; Kutlushina A; Bashirova D; Mokshyna O; Madzhidov T Int J Mol Sci; 2019 Nov; 20(23):. PubMed ID: 31757043 [TBL] [Abstract][Full Text] [Related]
8. Case-specific performance of MM-PBSA, MM-GBSA, and SIE in virtual screening. Virtanen SI; Niinivehmas SP; Pentikäinen OT J Mol Graph Model; 2015 Nov; 62():303-318. PubMed ID: 26550792 [TBL] [Abstract][Full Text] [Related]
15. Identifying natural compounds as multi-target-directed ligands against Alzheimer's disease: an in silico approach. Ambure P; Bhat J; Puzyn T; Roy K J Biomol Struct Dyn; 2019 Mar; 37(5):1282-1306. PubMed ID: 29578387 [TBL] [Abstract][Full Text] [Related]
16. Improving the Accuracy of Protein-Ligand Binding Mode Prediction Using a Molecular Dynamics-Based Pocket Generation Approach. Araki M; Iwata H; Ma B; Fujita A; Terayama K; Sagae Y; Ono F; Tsuda K; Kamiya N; Okuno Y J Comput Chem; 2018 Dec; 39(32):2679-2689. PubMed ID: 30515903 [TBL] [Abstract][Full Text] [Related]
17. Investigation of the differences in activity between hydroxycycloalkyl N1 substituted pyrazole derivatives as inhibitors of B-Raf kinase by using docking, molecular dynamics, QM/MM, and fragment-based de novo design: study of binding mode of diastereomer compounds. Caballero J; Alzate-Morales JH; Vergara-Jaque A J Chem Inf Model; 2011 Nov; 51(11):2920-31. PubMed ID: 22011048 [TBL] [Abstract][Full Text] [Related]
18. Improved prediction of HIV-1 protease-inhibitor binding energies by molecular dynamics simulations. Jenwitheesuk E; Samudrala R BMC Struct Biol; 2003 Apr; 3():2. PubMed ID: 12675950 [TBL] [Abstract][Full Text] [Related]