Venkata Rajesh Yella

About

Dr. V R Yella obtained his B.Sc degree in Biotechnology, Botany and Chemistry from Andhra University, A.P, India in 2005 and M.Sc degree in Biochemistry from Andhra University, India in 2007. After that, he worked as a lecturer in Biochemistry for S.K.B.R College, Amalapuram from 2007-08. Later, he moved to Indian Institute of Science, in Bangalore, India and obtained his Ph.D. degree in Computational Biology under the guidance of Prof. Manju Bansal. In 2016, he joined as Assistant Professor in the department of biotechnology, K L University. Currently, his research work is supported by DST-SERB through early career research award.

Employment

• K L University Assistant Professor
  2016 - Present

Education

• Indian Institute of Science PhD in Computational biology
  2008 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (26)

• DNA conformational flexibility descriptors improve transcription factor binding prediction across diverse transcription factor families
  Genome Research 2026 DOI: 10.1101/gr.281357.125
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• DNA Conformational Flexibility Descriptors Improve Transcription Factor Binding Prediction Across the Protein Families
  2025 DOI: 10.1101/2025.07.20.665724
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• Quantifying the contribution of DNA conformational flexibility to transcription factor binding on nucleosomal DNA uncovers indirect readout across diverse TF families
  2025 DOI: 10.1101/2025.05.21.655105
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• Comparative genomic analysis reveals distinct virulence and resistance mechanisms in 21 bacterial fish pathogens
  Microbial Pathogenesis 2024 DOI: 10.1016/j.micpath.2024.107099
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• Dissecting non-B DNA structural motifs in untranslated regions of eukaryotic genomes
  Genomics & Informatics 2024 DOI: 10.1186/s44342-024-00028-x
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• Discerning the Role of DNA Sequence, Shape, and Flexibility in Recognition by Drosophila Transcription Factors
  ACS Chemical Biology 2024 DOI: 10.1021/acschembio.4c00202
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• MLDSPP: Bacterial Promoter Prediction Tool Using DNA Structural Properties with Machine Learning and Explainable AI
  Journal of Chemical Information and Modeling 2024 DOI: 10.1021/acs.jcim.3c02017
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• Computational analysis on the dissemination of non-B DNA structural motifs in promoter regions of 1180 cellular genomes
  Biochimie 2023 DOI: 10.1016/j.biochi.2023.06.002
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• DNA structural properties of DNA binding sites for 21 transcription factors in the mycobacterial genome.
  Frontiers in cellular and infection microbiology 2023 DOI: 10.3389/fcimb.2023.1147544
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• Raw sequence and Non-B-DNA occurrence datasets
  2023 DOI: 10.6084/m9.figshare.22759073
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