The COVID-19 pandemic, caused by the SARS-CoV-2 coronavirus, has placed significant strain on medical resources worldwide, and early detection and isolation has been the primary strategy by which, research establishments and governments worked to contain the disease spread.
ReadThe omnipresence and diversity of allosteric regulation in proteins and protein associations complemented by the potential for the design of allosterically acting biologics and drugs call for the development of a new generation of computational models for the analysis of allostery and rational engineering/design of desired signaling and effector molecules determining it.
ReadAlloMAPS 2 is an update of the Allosteric Mutation Analysis and Polymorphism of Signalling database, which contains data on allosteric communication obtained for predicted structures in the AlphaFold database (AFDB) and trRosetta-predicted Pfam domains.
ReadKeywords: SARS-CoV-2; Spike protein; allosteric drugs; allosteric effects of mutations; allostery; drug design; druggability; mutability.
ReadKeywords: SARS-CoV-2; Spike protein; allosteric drugs; allosteric effects of mutations; allostery; drug design; druggability; mutability.
ReadWe propose a novel method for reconstructing the whole-genome chromatin ensemble from the Hi-C data. The procedure starts from the Markov State Modelling (MSM), delineating structural hierarchy of chromatin organization with partitioning and effective interactions archetypal for corresponding levels of hierarchy.
ReadStudies of protein allostery increasingly reveal an involvement of the back and forth order-disorder transitions in this mechanism of protein activity regulation. Here, we investigate the allosteric mechanisms mediated by structural disorder using the structure-based statistical mechanical model of allostery (SBSMMA) that we have previously developed.
ReadThe AlloSigMA 2 server provides an interactive platform for exploring the allosteric signaling caused by ligand binding and/or mutations, for analyzing the allosteric effects of mutations and for detecting potential cancer drivers and pathogenic nsSNPs. It can also be used for searching latent allosteric sites and for computationally designing allosteric effectors for these sites with required agonist/antagonist activity.
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