Deep Learning Based DNA and RNA Binding Sites Prediction for Accelerated Drug Discovery - CBIRT


Scientists from Skoltech's iMolecule group have created an artificial intelligence-driven approach to identify sites on the structures of DNA or RNA molecules where drug compounds may bind. The drug-binding site information will allow pharmaceutical firms to find novel therapeutic compounds – including antiviral agents – in a far more focused manner. The new method, which was published in Nucleic Acid Research: Genomics and Bioinformatics, claims to be more accurate than previous methods since it considers how a nucleic acid molecule's shape impacts which binding sites are accessible. Most drugs target proteins because pharmacologists have traditionally seen RNA as just a mediator between DNA and the functional proteins it encodes. As almost 85% of the genome is translated into RNAs, only a tiny percentage of those RNAs encode proteins.

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