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Dr. Neelam Sharma

Assistant Professor
neelam.sharma@bvrit.ac.in

Ph.D.: Indraprastha Institute of Information Technology Delhi, 2022

PG: Biotechnology, GLA University, 2015

UG: Biotechnology, Dr. Bhim Rao Ambedkar University, 2013

Teaching Experience: 01 year 05 months

Research Experience: 07 years 07 months

Contact Number

BVRITN Employee ID: BVRIT66-17

JNTUH Registration ID

Computational Biology, Machine Learning and Artificial Intelligence in Computational Biology, Genomics, Protein/Peptide Therapeutics, Chemi- informatics, Immuno-informatics, In-silico vaccine Design, Webserver and Database development.

 

Member of Asia Pacific Bioinformatics Network (APBIONET)

  1. Doctoral Dissertation Award (November 2022) Indraprastha Institute of Information Technology Delhi, New Delhi, India.
  2. Dean Innovation Research and Development Award (September 2021) Indraprastha Institute of Information Technology Delhi, New Delhi, India.
  3. Certificate of Excellence awarded for the outstanding contributions as Student Mentor in Student Mentorship Programme (Aug 2021- Aug 2022) at Indraprastha Institute of Information Technology Delhi, New Delhi, India.
  4. Best Teaching Assistant Award for the course “Machine Learning for Biomedical Applications” in 2019 at Indraprastha Institute of Information Technology Delhi, New Delhi, India.
  5. Senior Research Fellow, (Sept 2019 -Sept 2022) from Department of Science and Technology -INSPIRE, Govt. of India.
  6. Junior Research Fellow, (Sept 2017- Sept 2019) from Department of Science and Technology -INSPIRE, Govt. of India.
  7. University Gold Medal, (December 2015), for being university topper and securing First Position in M.Sc. Biotechnology, GLA University, Mathura, India.
  8. Certificate of Merit (May 2014) for securing First position in 1st year of M.Sc. Biotechnology, Department of Biotechnology, GLA University, Mathura, India.
  9. First Prize for poster presentation (November 2014) “Synthesis of Silver Nanoparticles and their activity against Candida albicans in combination with fluconazole” at 28th Annual Convention of Indian Association of Veterinary Microbiologists, Immunologists and Specialists in Infectious Diseases (IAVMI) held in DUVASU, Mathura, India.
  10. First Prize for presentation on the Drug Designing (August 2014) at Department of Biotechnology, GLA University, Mathura, India.
  1. Kumar N.#, Tripathi S#, Sharma N. #, Patiyal S. # , Naorem L. D., Raghava G. (2024). A method for predicting linear and conformational B-cell epitopes in an antigen from its primary sequence. Computers in Biology and Medicine. (IF: 7.7) # Equal contribution.
  2. Arora A, Patiyal S, Sharma N, Devi NL, Kaur D, Raghava G.P.S. (2023). A random forest model for predicting exosomal proteins using evolutionary information and motifs. Proteomics. (IF: 5.393)
  3. Naorem, L.D., Sharma, N., Raghava, G. P. S. (2023). A web server for predicting and scanning of IL-5 inducing peptides using alignment-free and alignment-based method. Computers in Biology and Medicine. (IF:6.698)
  4. Tripathi S#, Sharma N#, Devi NL, Raghava GPS (2023). ViralVacDB: A manually curated repository of viral vaccines. Drug Discovery Today. (IF: 8.369). # Equal contribution.
  5. Dhall, A., Patiyal, S. , Sharma, N., Usmani, S. S., & Raghava, G. (2023). A Web-Based Method for the Identification of IL6-Based Immunotoxicity in Vaccine Candidates. Methods in molecular biology. (IF: 0.368)
  6. Sharma, N., al. (2022). ToxinPred2: an improved method for predicting toxicity of proteins.Briefings in bioinformatics, bbac174 (IF: 13.994)
  7. Sharma, N., al. (2021). ChAlPred: A web server for prediction of allergenicity of chemical compounds. Computers in biology and medicine, 136, 104746. (IF: 4.589)
  8. Sharma, N., al. (2021). AlgPred 2.0: an improved method for predicting allergenic proteins and mapping of IgE epitopes. Briefings in bioinformatics, 22(4), bbaa294. (IF:11.62)
  9. Gupta S#, Sharma N#, Devi NL, Jain S, Raghava GPS (2022). Collection, compilation and analysis of bacterial vaccines. Computers in Biology and Medicine. (IF:6.698) # Equal contribution
  10. Sharma, N.#, Naorem, L. D. #, al (2021). Computational resources in healthcare. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, e1437. (IF:7.558 ) # Equal contribution
  11. Patiyal, S#., Kaur, D. #, Kaur, H. #, Sharma, N. #, Dhall, A., Sahai, S., Agrawal, P., Maryam, L., Arora, C., & Raghava, G. (2020). A Web-Based Platform on Coronavirus Disease-19 to Maintain Predicted Diagnostic, Drug, and Vaccine Candidates. Monoclonal antibodies in immunodiagnosis and immunotherapy, 39(6), 204–216. (IF:0.268 ) # Equal contribution
  12. Dhall, A., Patiyal, S., Sharma, N., Devi, N. L., & Raghava, G. (2021). Computer-aided prediction of inhibitors against STAT3 for managing COVID-19 associated cytokine storm. Computers in biology and medicine, 137, 104780. (IF: 4.589)
  13. Dhall, A., Patiyal, S., Sharma, N., Usmani, S. S., & Raghava, G. (2021). Computer-aided prediction and design of IL-6 inducing peptides: IL-6 plays a crucial role in COVID-19. Briefings in bioinformatics, 22(2), 936–945 (IF:11.62)
  14. Agrawal, P., Bhagat, D., Mahalwal, M., Sharma, N., & Raghava, G. (2021). AntiCP 2.0: an updated model for predicting anticancer peptides. Briefings in bioinformatics, 22(3), bbaa153. (IF:11.62)
  15. Mathur, D., Kaur, H., Dhall, A., Sharma, N., & Raghava, G. (2021). SAPdb: A database of short peptides and the corresponding nanostructures formed by self-assembly. Computers in biology and medicine, 133, 104391. (IF: 4.589)
  16. Dhall A., Jain S., Sharma N., Naorem, L.D., Kaur, D., Patiyal, S., & Raghava, G. (2021). In silico tools and databases for designing cancer immunotherapy. Advances in Protein Chemistry and Structural Biology (IF:3.507)
  17. Kumar, V., Patiyal, S., Dhall, A., Sharma, N., & Raghava, G. (2021). B3Pred: A Random-Forest-Based Method for Predicting and Designing Blood-Brain Barrier Penetrating Peptides. Pharmaceutics, 13(8), 1237. (IF: 6.525)
  18. Tarca, A. L., Pataki, B. Á., Romero, R., Sirota, M., Guan, Y., Kutum, R., Gomez-Lopez, N., Done, B., Bhatti, G., Yu, T., Andreoletti, G., Chaiworapongsa, T., DREAM Preterm Birth Prediction Challenge Consortium, Hassan, S. S., Hsu, C. D., Aghaeepour, N., Stolovitzky, G., Csabai, I., & Costello, J. C. (2021). Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth. Cell reports. Medicine, 2(6), 100323. (IF: 988)
  19. Gabor, A., Tognetti, M., Driessen, A., Tanevski, J., Guo, B., Cao, W., Shen, H., Yu, T., Chung, V., Single Cell Signaling in Breast Cancer DREAM Consortium members, Bodenmiller, B., & Saez-Rodriguez, J. (2021). Cell-to-cell and type-to-type heterogeneity of signaling networks: insights from the crowd. Molecular systems biology, 17(10), e10402. (IF: 43)
  20. Kaur, D., Patiyal, S., Sharma, N., Usmani, S. S., & Raghava, G. (2019). PRRDB 2.0: a comprehensive database of pattern-recognition receptors and their ligands. Database: the journal of biological databases and curation, 2019, baz076. (IF: 2.75)
  21. Agrawal, P., Raghav, P. K., Bhalla, S., Sharma, N., & Raghava, G. (2018). Overview of Free Software Developed for Designing Drugs Based on Protein-Small Molecules Interaction. Current topics in medicinal chemistry, 18(13), 1146–1167. (IF: 3.37)
  22. Pande A, Patiyal S, Lathwal A, Arora C, Kaur D, Dhall A, Mishra G, Kaur H, Sharma N, et al. (2022). Pfeature: A Tool for Computing Wide Range of Protein Features and Building Prediction Models. Journal of computational biology : a journal of computational molecular cell biology. (IF:1.549).
  1. Health Informatics Summit, (October 16-19, 2021), organised by Department of Computational Biology, IIIT-D and APbians (Bioinformatics Society), New Delhi, India.
  2. Symposium on Computational Gastronomy, (December 8, 2018), organized by Centre for Computational Biology, Indraprastha Institute of Information Technology Delhi, New Delhi, India.
  3. 17th International Conference on Bioinformatics 2018 (Incob2018), (September 26-28, 2018), Jawaharlal Nehru University, New Delhi, India.
  4. ACM India Grad Cohort, (July 06-07, 2018) organised by Department of Computer Science and Engineering, Indian Institute of Technology Bombay, Mumbai, India.
  5. Symposium On Functional Genomics, (December 2, 2017), organized by Centre for Computational Biology, Indraprastha Institute of Information Technology Delhi, New Delhi, India.
  6. Symposium On Network Biology, (October 28, 2017), organized by Centre for Computational Biology, Indraprastha Institute of Information Technology Delhi, New Delhi, India.
  7. Breaking Barriers through Bioinformatics and Computational Biology, (July 31-August 1, 2017), organized by Centre for Computational Biology, Indraprastha Institute of Information Technology Delhi, New Delhi India.
  8. Research, Innovation, and Incubation Showcase (RIISE) (31st January 2020), Indraprastha Institute of Information Technology Delhi, New Delhi, India.
  9. Symposium on Emerging trends in Bioinformatics & Health Informatics, (May 16, 2017), organized by Centre for Computational Biology, Indraprastha Institute of Information Technology Delhi, New Delhi, India.
  10. 28th Annual Convention of Indian Association of Veterinary Microbiologists, Immunologists and Specialists in Infectious Diseases (IAVMI), (Sept, 2014) organised by DUVASU, Mathura, India.
  11. International Conference on “Challenges and Opportunities in Animal Health at the Face of the Globalisation and Climate Change” (Oct, 2013) organised by DUVASU and GLA University, Mathura, India.
  12. National Symposium on Trends in Biomolecular Interaction and Bioinformatics (March, 2013) organised by Interdisciplinary Biotechnology Unit, Aligarh Muslim University, Uttar Pradesh, India.
  1. Two weeks international workshop on DNA Sequence Analysis by Prof. Yukio Nagano (July 15-27, 2024) organised by B.V. Raju Institute of Technology, Narsapur, Telangana, India.
  2. Faculty Induction Program (May 27-31, 2024), organised at VEDIC Hyderabad, India.
  3. National Workshop on Computation for Biomedicine and Healthcare, (December 10-14, 2018), organized by Centre for Computational Biology, Indraprastha Institute of Information Technology, New Delhi, India.
  4. National workshop on Next Generation Sequencing data analysis using immunome data, (July 5-7, 2017), 3-days hands on workshop organized by Department of Biomedical Sciences, Shaheed Rajguru College of Applied Sciences for Women, University of Delhi, in collaboration with BioDiscovery Group, New Delhi, India.
  5. Workshop on “Tools & Techniques used in Biotechnology and Microbiology”, (2013) organised by Department of Biotechnology, GLA University, Mathura, India
  6. Seminar on HIV AIDS by Dr. S.K. Tripathy, JALMA (2013) organised by Department of Biotechnology, GLA University, Mathura, India.
  7. Seminar on Bioremediation of Waste Products by Dr. Ashok Sharma, Banaras Hindu University (2013) organised by Department of Biotechnology, GLA University, Mathura, India