RM
Rahul Shubhra Mandal
University of Pennsylvania Perelman School of Medicine, National Institute of Cholera and Enteric Diseases, University of Calcutta, West Bengal University of Technology
About
Computational biologist with experience in computational genomics and proteomics, machine learning and in silico drug designing. Ten years of experience working in collaboration and handling multiple research projects. Passionate about personalized medicine and improving patients' quality of life.
Employment
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University of Pennsylvania Perelman School of Medicine Postdoctoral Researcher2018 - Present
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National Institute of Cholera and Enteric Diseases Scientist-I2012 - 2018
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Institute of Genomics and Integrative Biology CSIR Project Assistant2009 - 2012
Education
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University of Calcutta Ph.D.2015 - 2018
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West Bengal University of Technology M.Sc.(Tech)
Projects & Funding
Projects & funding information is unavailable.
Publications (34)
- Salmonella typhi serine threonine kinase T4519 induces lysosomal membrane permeabilization by manipulating toll-like receptor 2-Cystatin B-Cathepsin B-NF-κB-reactive oxygen species pathway and promotes survival within human macrophages. Save
- Improved detection of DNA replication fork-associated proteins. Save
- ABDpred: Prediction of active antimicrobial compounds using supervised machine learning techniques. Save
- Development of a nano-emulsion based multivalent protein subunit vaccine against Pseudomonas aeruginosa. Save
- A protein subunit vaccine elicits a balanced immune response that protects against Pseudomonas pulmonary infection. Save
- Induction of IL19 expression through JNK and cGAS-STING modulates DNA damage-induced cytokine production. Save
- Artificial Intelligence in Surveillance, Diagnosis, Drug Discovery and Vaccine Development against COVID-19 Save
- ACE Inhibitory Peptides from Bellamya bengalensis Protein Hydrolysates: In Vitro and In Silico Molecular Assessment Save
- Tapping the immunological imprints to design chimeric SARS-CoV-2 vaccine for elderly population. Save
- Identification of Growth Inhibitors of the Fish Pathogen Saprolegnia parasitica Using in silico Subtractive Proteomics, Computational Modeling, and Biochemical Validation. Save