scholarly journals Combined in Silico and Experimental Approach for Drug Design: The Binding Mode of Peptidic and Non-Peptidic Inhibitors to Hsp90 N-Terminal Domain

2010 ◽  
Vol 76 (5) ◽  
pp. 382-391 ◽  
Author(s):  
Simona Tomaselli ◽  
Massimiliano Meli ◽  
Janet Plescia ◽  
Lucia Zetta ◽  
Dario C. Altieri ◽  
...  
2020 ◽  
Vol 11 (24) ◽  
pp. 4289-4300
Author(s):  
Matheus Henrique Reis ◽  
Deborah Antunes ◽  
Lucianna H. S. Santos ◽  
Ana Carolina Ramos Guimarães ◽  
Ernesto Raul Caffarena

2020 ◽  
Vol 26 ◽  
Author(s):  
Smriti Sharma ◽  
Vinayak Bhatia

: The search for novel drugs that can prevent or control Alzheimer’s disease has attracted lot of attention from researchers across the globe. Phytochemicals are increasingly being used to provide scaffolds to design drugs for AD. In silico techniques, have proven to be a game-changer in this drug design and development process. In this review, the authors have focussed on current advances in the field of in silico medicine, applied to phytochemicals, to discover novel drugs to prevent or cure AD. After giving a brief context of the etiology and available drug targets for AD, authors have discussed the latest advances and techniques in computational drug design of AD from phytochemicals. Some of the prototypical studies in this area are discussed in detail. In silico phytochemical analysis is a tool of choice for researchers all across the globe and helps integrate chemical biology with drug design.


Author(s):  
Smriti Sharma ◽  
Vinayak Bhatia

: Pyrazole and its derivatives are a pharmacologically significant active scaffold that have innumerable physiological and pharmacological activities. They can be very good targets for the discovery of novel anti-bacterial, anticancer, anti-inflammatory, anti-fungal, anti-tubercular, antiviral, antioxidant, antidepressant, anti-convulsant and neuroprotective drugs. This review focuses on the importance of in silico manipulations of pyrazole and its derivatives for medicinal chemistry. The authors have discussed currently available information on the use of computational techniques like molecular docking, structure-based virtual screening (SBVS), molecular dynamics (MD) simulations, quantitative structure activity relationship (QSAR), comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) to drug design using pyrazole moieties. Pyrazole based drug design is mainly dependent on the integration of experimental and computational approaches. The authors feel that more studies need to be done to fully explore the pharmacological potential of the pyrazole moiety and in silico method can be of great help.


Author(s):  
Chiara Luise ◽  
Dina Robaa ◽  
Wolfgang Sippl

AbstractSome of the main challenges faced in drug discovery are pocket flexibility and binding mode prediction. In this work, we explored the aromatic cage flexibility of the histone methyllysine reader protein Spindlin1 and its impact on binding mode prediction by means of in silico approaches. We first investigated the Spindlin1 aromatic cage plasticity by analyzing the available crystal structures and through molecular dynamic simulations. Then we assessed the ability of rigid docking and flexible docking to rightly reproduce the binding mode of a known ligand into Spindlin1, as an example of a reader protein displaying flexibility in the binding pocket. The ability of induced fit docking was further probed to test if the right ligand binding mode could be obtained through flexible docking regardless of the initial protein conformation. Finally, the stability of generated docking poses was verified by molecular dynamic simulations. Accurate binding mode prediction was obtained showing that the herein reported approach is a highly promising combination of in silico methods able to rightly predict the binding mode of small molecule ligands in flexible binding pockets, such as those observed in some reader proteins.


2016 ◽  
Vol 606 ◽  
pp. 64-72 ◽  
Author(s):  
Cristhian Boetsch ◽  
Daniel R. Aguayo-Villegas ◽  
Fernando D. Gonzalez-Nilo ◽  
Á. Teresita Lisa ◽  
Paola R. Beassoni

2018 ◽  
Vol 156 ◽  
pp. 907-917 ◽  
Author(s):  
Jean-Rémy Marchand ◽  
Amedeo Caflisch
Keyword(s):  

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