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Biology subjects

Moroy, G.

Publications and source records attributed to Moroy, G..

2 recordsLinked to original sources

Simulated Solute Tempering 2

Molecular dynamics (MD) simulations are powerful tools for studying the movement and interactions of molecules, but they can be computationally expensive, especially for large biomolecules like proteins. This is problematic because accurately simulating the motions of these molecules is key to understanding their function. Enhanced sampling methods, such as Simulated Tempering (ST), temperature Replica Exchange Molecular Dynamics (REMD) and Replica Exchange with Solute Tempering (REST and REST2), have been developed to overcome this challenge by improving the efficiency of MD simulations. This article presents a new enhanced sampling method called Simulated Solute Tempering 2 (SST2) that builds upon the strengths of ST and REST2. SST2 selectively scales the interactions inside a biomolecule and with its surrounding environment, effectively accelerating the exploration of its different structural states and their stability at various temperatures. SST2 was tested on three different systems (chignolin CLN025, Trp-Cage, and a protein-peptide complex, p97/PNGase) and found to achieve comparable or superior sampling efficiency to ST, SST1 and REST2 while requiring fewer temperature rungs. Notably, SST2 is particularly well-suited for investigating large biomolecular systems, making it a valuable tool for studying a wide range of biomolecular processes, from protein folding to ligand binding. Significance StatementAccurately simulating the motions of biological molecules like proteins is key to understanding their function. However, this is computationally expensive, especially for large systems or slow processes. To overcome this, we developed Simulated Solute Tempering 2 (SST2), a novel algorithm that improves the efficiency of molecular dynamics (MD) simulations. SST2 selectively scales the interactions inside a biomolecule and with its surrounding environment, accelerating the exploration of its different structures and their stability at various temperatures. This allows SST2 to achieve remarkable performances with a clear improved ease of use compare to similar methods, particularly for large systems like protein-ligand complexes. This makes SST2 a valuable tool for studying a wide range of biomolecular processes, from protein folding to ligand binding. TOC Graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=111 SRC="FIGDIR/small/613476v3_ufig1.gif" ALT="Figure 1"> View larger version (41K): org.highwire.dtl.DTLVardef@761755org.highwire.dtl.DTLVardef@f5df1forg.highwire.dtl.DTLVardef@ba93dorg.highwire.dtl.DTLVardef@193e7eb_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

Non-sequential alignment of binding sites for fast peptide screening

MotivationPeptides are molecules involved in many essential biological activities by interacting with proteins in the body. They can also be used as therapeutic molecules, particularly to disrupt protein-protein interactions involved in disease. However, it is difficult to identify potential therapeutic peptides if the structure of the protein-protein complex to be inhibited has not been solved. ResultsThe PepIT program was developed to propose peptides that can interact with a given protein. PepIT is based on a non-sequential alignment algorithm to identify peptide binding sites that share geometrical and physicochemical properties with a surface region of the target protein. PepIT compares the entire surface of the target protein with the peptide binding sites of the Propedia dataset, which contains more than 19,000 high-resolution protein-peptide structures. Once a peptide binding site similar to a portion of the protein surface is found, the peptide bound to the binding site is repositioned on the corresponding portion of the protein surface. Availability and implementationThe PepIT source code is freely available at https://github.com/DSIMB/pepit Supplementary informationSupplementary data are available online.

bioinformatics↗