Sudhir Srivastava
Dr. Sudhir Srivastava
Citations and H index

Research Interest

  • Bioinformatics
  • Computational Biology
  • Statistical Aspects of Proteomics and Genomics


  • Chemoinformatics and IPR Issues
  • Bio-molecular Modelling and Simulation

Important Projects

  • Development of statistical and computational approach for preprocessing and analyzing high-throughput proteomics data with missing values. as PI

  • Methodology for Trait Specific Genes Identification as Co-PI

  • Methodology for Protein Structure Comparison and its Web Implementation (institute funded project) as PI

  • A New Distributed Computing Framework for Data Mining (DIT funded project) as Co-investigator with Birla Institute of Technology and Science (BITS), Pilani as the Leading Institute

  • Development of a Tool for Comparison of Protein 3D Structure using Graph Theoretic Approach (institute funded project) as Co-PI

  • Multilabel Functional Classification of Abiotic Stress Related Proteins in Poaceae (institute funded project) as Co-PI

Important Publications

  • Veda Krishnan, Monika Awana, A. P. Raja Rani, Navita Bansal, Haritha Bollinedi, Sudhir Srivastava, Susheel Sharma, Ashok Kumar Singh, Archana Singh, Shelly Praveen. (Published on October 6, 2020). Quality matrix reveals the potential of Chak-hao as a nutritional supplement: A comparative study of matrix components, antioxidants and physico-chemical attributes, Journal of Food Measurement and Characterization.[IF (2019): 1.648]iconpdf

  • Veda Krishnan, Debarati Mondal, Haritha Bollinedi, Sudhir Srivastava, Ramesh SV, Latha Madhavan, Archana Singh, A.K. Singh, Shelly Praveen (2020). Cooking fat types alter the inherent glycaemic response of niche rice varieties through resistant starch (RS) formation, International Journal of Biological Macromolecules, 162, 1668-1681.[IF (2020): 5.162]iconpdf

  • Jin, J., Wahlang, B., Shi, H., Hardesty, J.E.., Falkner, K.C., Head, K.Z.,Srivastava, S, Merchant, M.L., Rai, S.N., Cave, M.C. and Prough, R.A. (2020). Dioxin-like and non-dioxin-like PCBs differentially regulate the hepatic proteome and modify diet-induced nonalcoholic fatty liver disease severity, Medicinal Chemistry Research, 29, 1247–1263.[IF: 1.783 (2019)].iconpdf

  • Krishnan, V., Rani, R., Pushkar, S., Lal, S.K., Srivastava, S., Kumari, S., Vinutha, T., Dahuja, A., Praveen, S. & Sachdev, A. (March 19, 2020). Anthocyanin fingerprinting and dynamics in differentially pigmented exotic soybean genotypes using modified HPLC–DAD method, Journal of Food Measurement and Characterization.iconpdf

  • U. B. Angadi, K. K. Chaturvedi, Srivastava, S. and Rai Anil. "A Novel Way of Comparing Protein 3D Structure Using Graph Partitioning Approach," in IEEE/ACM Transactions on Computational Biology and Bioinformatics.iconpdf

  • Rai, S.N., Srivastava, S., Pan, J., Wu, X., Rai, S.P., Mekmaysy, C.S., DeLeeuw, L., Chaires, J.B., Garbett, N.C (2019). Multi-group diagnostic classification of high-dimensional data using differential scanning calorimetry plasma thermograms. PLOS ONE 14(8): e0220765. iconpdf

  • Monendra Grover, Dwijesh C. Mishra, Naveen Sharma, Sudhir Srivastava, Anil Rai (2017) The maximum computational capacity of proteins involved in abiotic stress differs significantly from the proteins not involved in abiotic stress, National Academy Science Letters, (), 1-3, 10.1007/s40009-017-0557-2.

  • Srivastava, S, Lal, SB, Mishra, DC, Angadi,UB, Chaturvedi, KK, Rai, SN and Rai, A (2016). An efficient algorithm for protein structure comparison using elastic shape analysis. Algorithms for Molecular Biology, 11, 27, DOI: 10.1186/s13015-016-0089-1.

  • Singh, NK, Mahato, AK, Jayaswal, PK, Singh,A, Singh, S, Singh, N, Rai, V, Mithra, ASV, Gaikwad, K, Sharma, N, Lal, S, Srivastava, M, Praksh, J, Kalidindi, U, Singh, SK, Singh, AK, Khan, K, Mishra, RK, Rajan, S, Bajpai, A, Sandhya, BS, Nischita, P, Ravishankar, KV, Dinesh, MR, Kumar, N, Jaiswal, S, Iquebal, MA, Kumar, D, Rai, A and Sharma, TR (2016). Origin, Diversity and Genome Sequence of Mango (Mangifera indica L.). Indian Journal of History of Science, 51.2.2, 355-368.

  • Ngaki, MN, Wang, B, Sahu, BB, Srivastava, SK, Farooqi, MS and Kambakam, S, etal. (2016) Tanscriptomic Study of the Soybean- Fusarium virguliforme Interaction Revealed a Novel Ankyrin-Repeat Containing Defense Gene, Expression of Whose during Infection Led to Enhanced Resistance to the Fungal Pathogen in Transgenic Soybean Plants. PLoS ONE, 11(10): e0163106. DOI:10.1371/ journal.pone.0163106.

  • Anu Sharma, S. B. Lal, D. C. Mishra, Sudhir Srivastava and Anil Rai (2013). A web Based Software for Synonymous Codon Usage Indices. International Journal of Information and Computation Technology, 3(3): 147-152.

  • Sudhir Srivastava, Cini Varghese, Seema Jaggi and Eldho Varghese (2013). Diallel cross designs for test versus control comparisons. The Indian Journal of Genetics and Plant Breeding,, 73(2), 186-193.

  • Sudhir Srivastava, Cini Varghese, Seema Jaggi and Eldho Varghese(2015). Augmented partial diallel cross plans involving two sets of parental lines.. The Indian Journal of Genetics and Plant Breeding,75 (1), 105-109.

  • Book Chapter:

  • D.C. Mishra, Sanjeev Kumar, Anil Rai, Sudhir Srivastava (2013). Machine Learning Techniques and Its Application in Bioinformatics. Information and Knowledge Management: Tools, Techniques and Practices, pp: 155-168. Publisher: New India Publishing Agency.

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