Docking with SwissDock.
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Gabriela Bitencourt-Ferreira | Walter Filgueira de Azevedo | Gabriela Bitencourt-Ferreira | W. F. de Azevedo
[1] Arlindo L. Oliveira,et al. Computational approach to the discovery of phytochemical molecules with therapeutic potential targets to the PKCZ protein , 2018 .
[2] G. Zhai,et al. Advances in non-peptidomimetic HIV protease inhibitors. , 2014, Current medicinal chemistry.
[3] Val Oliveira Pintro,et al. Supervised machine learning techniques to predict binding affinity. A study for cyclin-dependent kinase 2. , 2017, Biochemical and biophysical research communications.
[4] Amedeo Caflisch,et al. Protein structure-based drug design: from docking to molecular dynamics. , 2018, Current opinion in structural biology.
[5] Peng Zhan,et al. Conformational restriction: an effective tactic in 'follow-on'-based drug discovery. , 2014, Future medicinal chemistry.
[6] Arthur J. Olson,et al. AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading , 2009, J. Comput. Chem..
[7] David S. Goodsell,et al. AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility , 2009, J. Comput. Chem..
[8] W. F. Azevedo. MolDock applied to structure-based virtual screening. , 2010 .
[9] Val Oliveira Pintro,et al. Development of CDK-targeted scoring functions for prediction of binding affinity. , 2018, Biophysical chemistry.
[10] Jordi Mestres,et al. Guided docking approaches to structure-based design and screening. , 2004, Current topics in medicinal chemistry.
[11] Sony Malhotra,et al. Structural Biology and the Design of New Therapeutics: From HIV and Cancer to Mycobacterial Infections: A Paper Dedicated to John Kendrew. , 2017, Journal of molecular biology.
[12] Gabriela Bitencourt-Ferreira,et al. Development of a machine-learning model to predict Gibbs free energy of binding for protein-ligand complexes. , 2018, Biophysical chemistry.
[13] S. W. Park,et al. Journey describing the discoveries of anti-HIV triterpene acid families targeting HIV-entry/fusion, protease functioning and maturation stages. , 2014, Current topics in medicinal chemistry.
[14] Ion Petre,et al. Tailored Approaches in Drug Development and Diagnostics: From Molecular Design to Biological Model Systems , 2017, Advanced healthcare materials.
[15] Gabriela Sehnem Heck,et al. Supervised Machine Learning Methods Applied to Predict Ligand- Binding Affinity. , 2017, Current medicinal chemistry.
[16] S. White,et al. Recent advances in computer-aided drug design as applied to anti-influenza drug discovery. , 2014, Current topics in medicinal chemistry.
[17] A. Murray,et al. Cyclin-dependent kinases: regulators of the cell cycle and more. , 1994, Chemistry & biology.
[18] Val Oliveira Pintro,et al. SAnDReS a Computational Tool for Statistical Analysis of Docking Results and Development of Scoring Functions. , 2016, Combinatorial chemistry & high throughput screening.
[19] M. Soliman,et al. Therapeutic, Molecular and Computational Aspects of Novel Monoamine Oxidase (MAO) Inhibitors. , 2017, Combinatorial chemistry & high throughput screening.
[20] Dan Li,et al. The application of in silico drug-likeness predictions in pharmaceutical research. , 2015, Advanced drug delivery reviews.
[21] Peng Zhan,et al. Anti-HIV Drug Discovery and Development: Current Innovations and Future Trends. , 2016, Journal of medicinal chemistry.
[22] Mohammed H Bohari,et al. Modeling anti-HIV compounds: the role of analogue-based approaches. , 2012, Current computer-aided drug design.
[23] Florbela Pereira,et al. Computational Methodologies in the Exploration of Marine Natural Product Leads , 2018, Marine drugs.
[24] K. Ahmad,et al. Computer Aided Drug Design and its Application to the Development of Potential Drugs for Neurodegenerative Disorders , 2017, Current neuropharmacology.
[25] Joungmok Kim,et al. Targeting of AMP-activated protein kinase: prospects for computer-aided drug design , 2017, Expert opinion on drug discovery.
[26] S H Kim,et al. Inhibition of cyclin-dependent kinases by purine analogues: crystal structure of human cdk2 complexed with roscovitine. , 1997, European journal of biochemistry.
[27] Walter Filgueira de Azevedo,et al. Optimized Virtual Screening Workflow: Towards Target-Based Polynomial Scoring Functions for HIV-1 Protease. , 2017, Combinatorial chemistry & high throughput screening.
[28] Sheikh Arslan Sehgal,et al. Current Therapeutic Molecules and Targets in Neurodegenerative Diseases Based on in silico Drug Design , 2018, Current neuropharmacology.
[29] Arun K. Ghosh,et al. Recent Progress in the Development of HIV-1 Protease Inhibitors for the Treatment of HIV/AIDS. , 2016, Journal of medicinal chemistry.
[30] W. F. Azevedo,et al. Development of machine learning models to predict inhibition of 3‐dehydroquinate dehydratase , 2018 .
[31] Surovi Saikia,et al. Molecular Docking: Challenges, Advances and its Use in Drug Discovery Perspective. , 2019, Current drug targets.
[32] Inho Choi,et al. Computer Aided Drug Design: Success and Limitations. , 2016, Current pharmaceutical design.
[33] A. Olson,et al. Computational challenges of structure-based approaches applied to HIV. , 2015, Current topics in microbiology and immunology.
[34] Yoshifumi Fukunishi,et al. Miscellaneous Topics in Computer-Aided Drug Design: Synthetic Accessibility and GPU Computing, and Other Topics , 2016, Current pharmaceutical design.
[35] David S. Goodsell,et al. Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function , 1998 .
[36] S H Kim,et al. Structural basis for specificity and potency of a flavonoid inhibitor of human CDK2, a cell cycle kinase. , 1996, Proceedings of the National Academy of Sciences of the United States of America.
[37] Stephani Joy Y Macalino,et al. Role of computer-aided drug design in modern drug discovery , 2015, Archives of Pharmacal Research.
[38] D. Goodsell,et al. Automated docking of substrates to proteins by simulated annealing , 1990, Proteins.
[39] Val Oliveira Pintro,et al. Understanding the Structural Basis for Inhibition of Cyclin-Dependent Kinases. New Pieces in the Molecular Puzzle. , 2017, Current drug targets.
[40] René Thomsen,et al. MolDock: a new technique for high-accuracy molecular docking. , 2006, Journal of medicinal chemistry.
[41] S. Kim,et al. Structural basis for chemical inhibition of CDK2. , 1996, Progress in cell cycle research.
[42] M. Scotti,et al. Computer-aided Drug Design Applied to Parkinson Targets , 2017, Current neuropharmacology.
[43] Conrad C. Huang,et al. UCSF Chimera—A visualization system for exploratory research and analysis , 2004, J. Comput. Chem..
[44] W. F. de Azevedo,et al. Bio-inspired algorithms applied to molecular docking simulations. , 2011, Current medicinal chemistry.
[45] Rita C. Guedes,et al. Computational Approaches for the Discovery of Human Proteasome Inhibitors: An Overview , 2016, Molecules.
[46] Mire Zloh,et al. The benefits of in silico modeling to identify possible small-molecule drugs and their off-target interactions. , 2018, Future medicinal chemistry.
[47] Aurélien Grosdidier,et al. SwissDock, a protein-small molecule docking web service based on EADock DSS , 2011, Nucleic Acids Res..
[48] Gabriela Bitencourt-Ferreira,et al. Cyclin-Dependent Kinase 2 in Cellular Senescence and Cancer. A Structural and Functional Review. , 2019, Current drug targets.
[49] Arun K. Ghosh,et al. Organic Carbamates in Drug Design and Medicinal Chemistry , 2015, Journal of medicinal chemistry.
[50] David O. Morgan,et al. Principles of CDK regulation , 1995, Nature.
[51] M. Campos,et al. Pre-clinical effects of metformin and aspirin on the cell lines of different breast cancer subtypes , 2018, Investigational new drugs.
[52] Michael M. Mysinger,et al. Automated Docking Screens: A Feasibility Study , 2009, Journal of medicinal chemistry.
[53] M. Scotti,et al. Computer Aided Drug Design Studies in the Discovery of Secondary Metabolites Targeted Against Age-Related Neurodegenerative Diseases. , 2015, Current topics in medicinal chemistry.
[54] Bianca Villavicencio,et al. Recent Progress of Molecular Docking Simulations Applied to Development of Drugs , 2012 .
[55] Aurélien Grosdidier,et al. Fast docking using the CHARMM force field with EADock DSS , 2011, J. Comput. Chem..
[56] P. Fischer,et al. 4-arylazo-3,5-diamino-1H-pyrazole CDK inhibitors: SAR study, crystal structure in complex with CDK2, selectivity, and cellular effects. , 2006, Journal of medicinal chemistry.
[57] David S. Goodsell,et al. Distributed automated docking of flexible ligands to proteins: Parallel applications of AutoDock 2.4 , 1996, J. Comput. Aided Mol. Des..