Obtained Masters of Technology in Bioinformatics from University of Hyderabad and Bachelors of Technology in Computer Science and Information Technology from Sree Visvesvaraya Institute of Technology and Sciences.

Research focus is on Software and Bioinformatics, to evaluate life science problems and provide solutions by developing Software/ Database and Computational Bioinformatics approach

Assessed Transcriptional sequences for understanding diet interventions, in-silico modeling and validation: Anti-inflammatory potentials of Poly-Herbal Nutraceuticals, in-silico analysis: Nutritional interference fighting against Diabetics &studying Degenerative Diseases, in-silico study: proposed Neurolathyrism is due to beta-ODAP rather than Glutamate, Identification of Epitopes on Allergens and homologous sequences, for regulatory review evaluating potential Allergenicity of the recombinant proteins Bar, Barnase & Barstar in Genetically Engineered Mustard for pollination control in plant breeding, biological activity IC50 association with LOGP value/ G3e/ Rte+ analyzed using linear & non-linear QSAR/ MLR/ SVM different kernels, Molecular Docking Investigation: Oral Oncogenesis anti-angiogenic effects of phytochemical Ellagic Acid blocking VEGF mediated tumor angiogenesis, etc

Database/ Software/ Website/ App development: Indian food borne disease surveillance, Count what you eat, OpenData Kit App forms for national survey, in-house ms-access data entry form designing, computer aided tool for high-throughput phenotyping.

Programming skills in Java, Perl, R, MySQL (Design, Development, ER-Maps), Web development Technologies, Database development, Linux/ Windows, Application development, Agile Software Development Methodologies, UML/ State/ Sequence diagrams.

Open Data Kit Application Form Designing & Development, App Development for PDA’s

Algorithm development, Machine Learning (Model generation, Discriminative Model, Neural Network, Regression, Classification, Clustering, etc.)

Biological data interpretations, Structural Genomics/ annotations, and Transcriptome analysis, Translational and applied Bioinformatics, Genomics sequence analysis, Next-generation sequencing data analysis

Computational Bioinformatics, Molecular homology modelling (structure, ligand & fragment-based drug discovery, ADMET modeling)/ docking/ dynamics and simulations.

1. Vankudavath Raju Naik, Manne Munikumar, Ungarala Ramakrishna, Medithi Srujana, Giridhar Goudar, Pittla Naresh, Boiroju Naveen Kumar, Rajkumar Hemalatha. Remdesivir (GS-5734) as a therapeutic option of 2019-nCOV main protease – in silico approach. Journal of Biomolecular Structure and Dynamics, ISSN: 0739-1102 (Print), 1538-0254 (Online), 22 Jun 2020, https://doi.org/10.1080/07391102.2020.1781694

2. Rajkumar H, Ramagoni RK, Anchoju VC, Vankudavath RN, Syed AUZ (2015) De Novo Transcriptome Analysis of Allium cepa L. (Onion) Bulb to Identify Allergens and Epitopes. PLoS ONE. 2015 Aug 18. 10(8): e0135387. https://doi.org/10.1371/journal.pone.0135387 (Impact factor:2.806)

3. Ankulu Ma, Aparna.Na, Amol Shirfulea, Raju Naik Vankudavathb, Arjun .L. Khandare a. Putative ligand-target docking studies of human AMPA selective Ionotropic glutamate receptors reveal that beta-ODAP has high binding affinity compared to tyrosine and glutamate. Int Res J Biochem and Bioinfo. 2013 Aug, Vol.3(8).

4. Sharma N, Ethiraj KR, Yadav M, Nayarisseri A, Chaurasiya M, Vankudavath RN, Rao KR. Identification of LOGP values and Electronegativities as structural insights to model inhibitory activity of HIV-1 Capsid Inhibitors - A SVM and MLR aided QSAR studies. Curr Top Med Chem. 2012 Sep 2 (Impact factor: 4.9)

5. Chetan C. Nimgulkar, Raju Naik Vankudavath, Sudip Ghosh, K. Bhaskarachary, B. Dinesh Kumar. In-silico and in-vivo validation of herbal and nutraceutical combination as anti-inflammatory agent. Indian J Pharma. 2011 Dec. Vol 43, G-Achari Prize-9, supplement 1-S199. (Impact factor: 0.691)

6. Vankadavath RN, Hussain AJ, Bodanapu R, Kharshiing E, Basha PO, Gupta S, Sreelakshmi Y, Sharma R (2009) Computer aided data acquisition tool for high-throughput phenotyping of plant populations. Plant Methods 5:18. 2009. doi:10.​1186/​1746-4811-5-18 (PMID: 20003250). 2009 Vankadavath et al; licensee BioMed Central Ltd. (Impact factor: 3.510)