Malay Ranjan Biswal
Postdoctoral ResearcherEducational Background
PhD in Theoretical Sciences
Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR), India (2015–2022)
- Topic: Computational models of biophysical processes across the membrane
Integrated Master of Science in Physics
Pondicherry University, India (2009–2014)
- Grade: 7.87/10
- Specialisation : Lasers
Professional Experience
Postdoctoral Researcher
Department of Chemical Engineering, Indian Institute of Technology Kanpur, India (01/2023–08/2024)
- Molecular dynamics simulations using a coarse-grained model to investigate how different lipid compositions in lipid nanoparticles (LNPs) influence their structure and ability to encapsulate various RNA-based therapeutics.
- Utilizing atomistic simulations combined with machine learning to investigate the mechanisms of ice recrystallization inhibition.
Project Scientist
Department of Chemical Engineering, Indian Institute of Technology Kanpur, India (03/2022–12/2022)
- Developing and analyzing coarse-grained models of diverse lipids and siRNAs to guide the design of lipid nanoparticles (LNPs).
Selected Publications
Early bioinformatic implication of triacidic amino acid motifs in autophagy-dependent unconventional secretion of mammalian proteins.
Frontiers in Cell and Developmental Biology 10, (2022)
Computational screening of antimicrobial peptides for Acinetobacter baumannii.
PLoS One 14(10), pp. e0219693 (2019)
Molecular dynamics based antimicrobial activity descriptors for synthetic cationic peptides.
Journal of Chemical Sciences 131(2), pp. 1-3 (2019)
Exploring the context of diacidic motif DE as a signal for unconventional protein secretion in eukaryotic proteins.
Wellcome Open Research 13(6), (2018)
Skills
- Molecular Dynamics: Atomistic, coarse grained Martini, Umbrella Sampling, Metadynamics
- Machine Learning: Artificial Neural Network, XGBoost, Decision Tree, Interpretable AI
- Programming/ Scripting: Bash, Python, Tcl, R, Fortran
- Softwares: Gromacs, NAMD, VMD, RDKit, Pymol