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Subrmani

India

About

BS-MS student in Biological Sciences at IISER Kolkata with strong interdisciplinary training in molecular biology, bioinformatics, and computational biology. Experienced in molecular dynamics simulations, protein–ligand interaction analysis, and large-scale data analysis for enzyme engineering using computational tools and machine learning approaches. Experience working with large-scale simulation data and developing reproducible computational workflows. Research interests focus on applying simulation-based and, AI data-driven predictive modeling approaches to understand biomolecular structure, dynamics, and function.

Experience

Master Thesis Researcher

Indian Institute of Science Education and Research, Kolkata

Aug 2025 – May 2026IISER KolkataResearch

Comparison of glucose tolerance in thermophilic and mesophilic GH1 family β-glucosidases using molecular dynamics simulations

  • Investigated solvent-mediated enzyme dynamics and glucose inhibition using GROMACS simulations.
  • Processed and analyzed large-scale microsecond-scale molecular dynamics trajectories using automated pipelines and Python-integrated, Bash-based workflows.
  • Analyzed binding affinity, residue-level energy contributions, residence time of glucose, and structural stability and flexibility.
  • Identified key determinants of glucose tolerance relevant for enzyme engineering applications.

Intern (Experimental Research - Dengue Virus)

IIT Roorkee

May 2024 – Jul 2024IIT RoorkeeInternship

Purification, Expression, and Characterization of Dengue Virus Serotypes in Bacterial Cells for Diagnostic Applications and Identifying potential monoclonal antibodies for therapeutics purposes, Prof. Rajesh Kumar

  • Molecular cloning and expression of Dengue virus serotype antigens in E. coli, followed by protein purification using affinity chromatography.
  • Performed biochemical and immunological characterization of expressed viral proteins using SDS-PAGE, Western blotting, Ni- NTA chromatography and ELISA to confirm expression, purity, and antigenic activity.

Intern (Computational Biology - β-glucosidase)

IISER Kolkata

May 2025 – Jul 2025IISER KolkataInternship

Thermal Sensitivity analysis of β-glucosidase from Thermococcus sp. using molecular dynamics simulations, Prof. Supratim Datta

  • Analysed MD trajectories using RMSD, RMSF, SASA, radius of gyration, Schlitter entropy and contact metrics to study protein dynamics.
  • Computed protein-ligand interactions (van der Waals, electrostatic, polar, non-polar contributions) and binding free energies using gmxMMPBSA across varying temperature conditions.

Education

BS-MS in Biological Sciences

Indian Institute of Science Education and Research, Kolkata

Jan 2022 – Jun 2026Grade: 8.61/10 CGPA

Skills

Programming Languages

Python· ExpertR· ExpertJulia· AdvancedLaTeX· AdvancedTcl Scripting· IntermediateBash Scripting· Advanced

Libraries and Frameworks

NumPy· ExpertPandas· ExpertMatplotlib· ExpertMDAnalysis· ExpertMDTraj· AdvancedBiopython· ExpertPyEMMA· Advancedscikit-learn· Expert

MD and Structural Tools

GROMACS· ExpertVMD· ExpertPyMoL· AdvancedCPPTRAJ· AdvancedgmxMMPBSA· Expert

Bio-informatics Tools

Autodock-4 (MGL Tools)· AdvancedDALI· AdvancedMOLE 2.0· AdvancedCASTp· AdvancedCaver· Advanced

Molecular Biology Techniques

PCR· AdvancedELISA· AdvancedPlasmid Isolation· AdvancedSDS-PAGE· AdvancedWestern-blotting· AdvancedRNA extraction· AdvancedNi-NTA chromatography· AdvancedBacterial transformation· Advanced

Interdisciplinary Training

Molecular Biology· ExpertBioinformatics· ExpertComputational Biology· Expert

Computational Techniques

Molecular Dynamics Simulations· ExpertProtein-Ligand Interaction Analysis· Expert

Data Science

Large-scale Data Analysis· ExpertMachine Learning· Expert

Biology Applications

Enzyme Engineering· Advanced

Projects

Linux-based Research Data server

LinuxMD simulation datasets

Designed and deployed a Linux-based server to automate storage, organisation and retrieval of large-scale MD simulation datasets.

Parkinson's Disease Progression Modelling using Machine Learning View

Machine Learning

Developed machine learning models for biological data analysis to predict disease progression from clinical datasets, primarily focusing on interpretability and robustness across three different models.

Stroke Risk Prediction using R View

Rtidymodels

Built and validated an stroke prediction pipeline using the R's tidymodels framework, addressing class imbalance and clinical data-preprocessing.

Languages

English

Expert

Volunteer Work

Open Day Organizer

IISER Kolkata

Feb 2024 – Feb 2024

Organized an institutional Open Day for regional school students to promote scientific literacy and research awareness.

Conference Volunteer

FIMB Conference, IISER Kolkata

Jan 2026 – Jan 2026

Managed registration desk and assisted with logistics and transportation for invited speakers.

Awards

Qualified GATE (Life Science) 2025

Indian Institute of Technology (IIT), Roorkee

Jan 2025

Secured All India Rank of 3347 out of 40000 students applied for this examinations.

Workshops

Fundamentals of Mathematical Biology workshop

Molecular Docking and Homology Modeling

Literature Writing

Future Trends: AI, IoT, and Digital Tools in Microbial Biotechnology - Book Chapter Writing (Manuscript is submitted)

Writing on AI predictive-modelling, industrial fermentation, healthcare applications and cloud-based biological data integration.

Relevant Coursework

Machine Learning

Probability & Statistics

Genomic Data Science

Data Structures & Algorithms

Academic Achievements & Roles

Presented a poster (Master's thesis progress)

Poster detailing the progress of my Master's thesis during the Semester IX evaluation.

Presented a poster at FIMB Conference

Presented a poster at the Frontiers in Modern Biology (FIMB) Conference, IISER Kolkata.

Teaching Assistant (TA)

Elected as TA for LS1202 (Biology Laboratory II) and LS3202 (Biostatistics).

All Profiles
Subrmani profile photo

Subrmani

India

About

BS-MS student in Biological Sciences at IISER Kolkata with strong interdisciplinary training in molecular biology, bioinformatics, and computational biology. Experienced in molecular dynamics simulations, protein–ligand interaction analysis, and large-scale data analysis for enzyme engineering using computational tools and machine learning approaches. Experience working with large-scale simulation data and developing reproducible computational workflows. Research interests focus on applying simulation-based and, AI data-driven predictive modeling approaches to understand biomolecular structure, dynamics, and function.

Experience

Master Thesis Researcher

Indian Institute of Science Education and Research, Kolkata

Aug 2025 – May 2026IISER KolkataResearch

Comparison of glucose tolerance in thermophilic and mesophilic GH1 family β-glucosidases using molecular dynamics simulations

  • Investigated solvent-mediated enzyme dynamics and glucose inhibition using GROMACS simulations.
  • Processed and analyzed large-scale microsecond-scale molecular dynamics trajectories using automated pipelines and Python-integrated, Bash-based workflows.
  • Analyzed binding affinity, residue-level energy contributions, residence time of glucose, and structural stability and flexibility.
  • Identified key determinants of glucose tolerance relevant for enzyme engineering applications.

Intern (Experimental Research - Dengue Virus)

IIT Roorkee

May 2024 – Jul 2024IIT RoorkeeInternship

Purification, Expression, and Characterization of Dengue Virus Serotypes in Bacterial Cells for Diagnostic Applications and Identifying potential monoclonal antibodies for therapeutics purposes, Prof. Rajesh Kumar

  • Molecular cloning and expression of Dengue virus serotype antigens in E. coli, followed by protein purification using affinity chromatography.
  • Performed biochemical and immunological characterization of expressed viral proteins using SDS-PAGE, Western blotting, Ni- NTA chromatography and ELISA to confirm expression, purity, and antigenic activity.

Intern (Computational Biology - β-glucosidase)

IISER Kolkata

May 2025 – Jul 2025IISER KolkataInternship

Thermal Sensitivity analysis of β-glucosidase from Thermococcus sp. using molecular dynamics simulations, Prof. Supratim Datta

  • Analysed MD trajectories using RMSD, RMSF, SASA, radius of gyration, Schlitter entropy and contact metrics to study protein dynamics.
  • Computed protein-ligand interactions (van der Waals, electrostatic, polar, non-polar contributions) and binding free energies using gmxMMPBSA across varying temperature conditions.

Education

BS-MS in Biological Sciences

Indian Institute of Science Education and Research, Kolkata

Jan 2022 – Jun 2026Grade: 8.61/10 CGPA

Skills

Programming Languages

Python· ExpertR· ExpertJulia· AdvancedLaTeX· AdvancedTcl Scripting· IntermediateBash Scripting· Advanced

Libraries and Frameworks

NumPy· ExpertPandas· ExpertMatplotlib· ExpertMDAnalysis· ExpertMDTraj· AdvancedBiopython· ExpertPyEMMA· Advancedscikit-learn· Expert

MD and Structural Tools

GROMACS· ExpertVMD· ExpertPyMoL· AdvancedCPPTRAJ· AdvancedgmxMMPBSA· Expert

Bio-informatics Tools

Autodock-4 (MGL Tools)· AdvancedDALI· AdvancedMOLE 2.0· AdvancedCASTp· AdvancedCaver· Advanced

Molecular Biology Techniques

PCR· AdvancedELISA· AdvancedPlasmid Isolation· AdvancedSDS-PAGE· AdvancedWestern-blotting· AdvancedRNA extraction· AdvancedNi-NTA chromatography· AdvancedBacterial transformation· Advanced

Interdisciplinary Training

Molecular Biology· ExpertBioinformatics· ExpertComputational Biology· Expert

Computational Techniques

Molecular Dynamics Simulations· ExpertProtein-Ligand Interaction Analysis· Expert

Data Science

Large-scale Data Analysis· ExpertMachine Learning· Expert

Biology Applications

Enzyme Engineering· Advanced

Projects

Linux-based Research Data server

LinuxMD simulation datasets

Designed and deployed a Linux-based server to automate storage, organisation and retrieval of large-scale MD simulation datasets.

Parkinson's Disease Progression Modelling using Machine Learning View

Machine Learning

Developed machine learning models for biological data analysis to predict disease progression from clinical datasets, primarily focusing on interpretability and robustness across three different models.

Stroke Risk Prediction using R View

Rtidymodels

Built and validated an stroke prediction pipeline using the R's tidymodels framework, addressing class imbalance and clinical data-preprocessing.

Languages

English

Expert

Volunteer Work

Open Day Organizer

IISER Kolkata

Feb 2024 – Feb 2024

Organized an institutional Open Day for regional school students to promote scientific literacy and research awareness.

Conference Volunteer

FIMB Conference, IISER Kolkata

Jan 2026 – Jan 2026

Managed registration desk and assisted with logistics and transportation for invited speakers.

Awards

Qualified GATE (Life Science) 2025

Indian Institute of Technology (IIT), Roorkee

Jan 2025

Secured All India Rank of 3347 out of 40000 students applied for this examinations.

Workshops

Fundamentals of Mathematical Biology workshop

Molecular Docking and Homology Modeling

Literature Writing

Future Trends: AI, IoT, and Digital Tools in Microbial Biotechnology - Book Chapter Writing (Manuscript is submitted)

Writing on AI predictive-modelling, industrial fermentation, healthcare applications and cloud-based biological data integration.

Relevant Coursework

Machine Learning

Probability & Statistics

Genomic Data Science

Data Structures & Algorithms

Academic Achievements & Roles

Presented a poster (Master's thesis progress)

Poster detailing the progress of my Master's thesis during the Semester IX evaluation.

Presented a poster at FIMB Conference

Presented a poster at the Frontiers in Modern Biology (FIMB) Conference, IISER Kolkata.

Teaching Assistant (TA)

Elected as TA for LS1202 (Biology Laboratory II) and LS3202 (Biostatistics).