Identification of Natural Inhibitors Against SARS-CoV-2 Drugable Targets Using Molecular Docking, Molecular Dynamics Simulation, and MM-PBSA Approach

The present study explores the SARS-CoV-2 drugable target inhibition efficacy of phytochemicals from Indian medicinal plants using molecular docking, molecular dynamics (MD) simulation, and MM-PBSA analysis.A total of 130 phytochemicals were screened against SARS-CoV-2 Spike (S)-protein, RNA-dependent RNA polymerase (RdRp), and Main protease (Mpro)

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Statistical tests for natural selection on regulatory regions based on the strength of transcription factor binding sites

Abstract Background Although cis-regulatory changes play an important role in evolution, it remains difficult to establish the contribution of natural selection to regulatory differences between species.For protein coding regions, powerful tests of natural selection have been developed Developer and Photoconductor Unit Pack based on comparisons of

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Artificial intelligence techniques for optimizing the efficiency in public works contracting selection processes

The present article proposes to design a model that provides a generic architecture which acts autonomously in public works Spider Mounting Bolts contracting selection processes, in order to generate an automated decision criterion in the event of a tie.For the Simplified Tender selection process, in case of a tie, it is proposed to choose the bidd

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