Improvements, trends, and new ideas in molecular docking: 2012–2013 in review
Molecular docking is a computational method for predicting the placement of ligands in the
binding sites of their receptor (s). In this review, we discuss the methodological …
binding sites of their receptor (s). In this review, we discuss the methodological …
Defining and exploring chemical spaces
CW Coley - Trends in Chemistry, 2021 - cell.com
Designing functional molecules with desirable properties is often a challenging, multi-
objective optimization. For decades, there have been computational approaches to facilitate …
objective optimization. For decades, there have been computational approaches to facilitate …
Identification of inhibitors of SARS-CoV-2 3CL-pro enzymatic activity using a small molecule in vitro repurposing screen
M Kuzikov, E Costanzi, J Reinshagen… - ACS pharmacology & …, 2021 - ACS Publications
Compound repurposing is an important strategy for the identification of effective treatment
options against SARS-CoV-2 infection and COVID-19 disease. In this regard, SARS-CoV-2 …
options against SARS-CoV-2 infection and COVID-19 disease. In this regard, SARS-CoV-2 …
A review on parallel virtual screening softwares for high-performance computers
Drug discovery is the most expensive, time-demanding, and challenging project in
biopharmaceutical companies which aims at the identification and optimization of lead …
biopharmaceutical companies which aims at the identification and optimization of lead …
Mashup: making serverless computing useful for hpc workflows via hybrid execution
This work introduces Mashup, a novel strategy to leverage serverless computing model for
executing scientific workflows in a hybrid fashion by taking advantage of both the traditional …
executing scientific workflows in a hybrid fashion by taking advantage of both the traditional …
CReM: chemically reasonable mutations framework for structure generation
P Polishchuk - Journal of Cheminformatics, 2020 - Springer
Abstract Structure generators are widely used in de novo design studies and their
performance substantially influences an outcome. Approaches based on the deep learning …
performance substantially influences an outcome. Approaches based on the deep learning …
Rational design of allosteric modulators: Challenges and successes
A Chatzigoulas, Z Cournia - Wiley Interdisciplinary Reviews …, 2021 - Wiley Online Library
Recent advances in structural biology and computational techniques have revealed
allosteric mechanisms for an abundance of targets leading to the establishment of rational …
allosteric mechanisms for an abundance of targets leading to the establishment of rational …
Cytopathic SARS-CoV-2 screening on VERO-E6 cells in a large-scale repurposing effort
Worldwide, there are intensive efforts to identify repurposed drugs as potential therapies
against SARS-CoV-2 infection and the associated COVID-19 disease. To date, the anti …
against SARS-CoV-2 infection and the associated COVID-19 disease. To date, the anti …
Modern tools and techniques in computer-aided drug design
Computer-aided drug design (CADD) has become an effective tool for the development of
therapeutics. CADD approaches parallelly assist the main drug discovery pipeline in many …
therapeutics. CADD approaches parallelly assist the main drug discovery pipeline in many …
Chemistry‐driven hit‐to‐lead optimization guided by structure‐based approaches
For several decades, hit identification for drug discovery has been facilitated by
developments in both fragment‐based and high‐throughput screening technologies …
developments in both fragment‐based and high‐throughput screening technologies …