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Molecular Biophysics Internship Topics

Browse all focused areas across all internship categories under this field.

Molecular Biophysics Internships with Accommodation

Choose an internship topic, then explore accommodation-enabled internship options at active NTHRYS branch locations in India.

Showing 1–12 of 15 internship topics
Machine Learning Models for Phase Separation Prediction
Interns will develop and train neural networks to predict phase separation behavior in protein systems using sequence features and molecular dynamics data. They will work on implementing attention mechanisms and graph neural networks to identify key residues driving condensate formation and validate predictions against experimental observations.
AI Phase Separation Biophysics ResearchView internship →
Molecular Dynamics Simulations of Biomolecular Condensates
Interns will perform large-scale MD simulations of intrinsically disordered proteins and RNA-protein complexes undergoing phase separation. They will analyze trajectory data to extract order parameters, diffusion coefficients, and spatial organization patterns within simulated condensates using Python-based analysis frameworks.
AI Phase Separation Biophysics ResearchView internship →
AI-Driven Design of Synthetic Phase-Separating Systems
Interns will use computational design algorithms and machine learning to engineer synthetic peptides and protein domains with tunable phase separation properties. They will validate computational predictions through collaboration with experimental labs and iterate designs based on biophysical characterization data.
AI Phase Separation Biophysics ResearchView internship →
Image Analysis and Computer Vision for Condensate Quantification
Interns will develop deep learning pipelines using convolutional neural networks to automatically detect, segment, and quantify biomolecular condensates in fluorescence microscopy images. They will work on temporal analysis of condensate dynamics and integration with biophysical modeling to extract kinetic parameters.
AI Phase Separation Biophysics ResearchView internship →
Coarse-Grained Modeling and Multi-Scale Simulation Integration
Interns will build and optimize coarse-grained models for phase-separating systems to enable longer timescale simulations and larger system sizes. They will develop machine learning-based force fields and establish protocols for mapping between atomistic and coarse-grained representations using enhanced sampling techniques.
AI Phase Separation Biophysics ResearchView internship →
Structure-Based Drug Discovery for Disease Targets
Interns will perform molecular docking studies against validated protein targets associated with diseases such as cancer, diabetes, or infectious diseases. They will use computational tools to predict binding modes, calculate binding affinities, and identify promising lead compounds from virtual compound libraries.
Molecular Docking and Virtual ScreeningView internship →
Virtual Screening Pipeline Development and Validation
Interns will design and optimize high-throughput virtual screening workflows using multiple docking algorithms and scoring functions. They will validate screening results against experimental data and develop protocols for improving hit identification accuracy and efficiency.
Molecular Docking and Virtual ScreeningView internship →
Protein-Ligand Interaction Analysis and Binding Mechanism Elucidation
Interns will conduct detailed computational analysis of protein-ligand complexes including hydrogen bonding patterns, hydrophobic interactions, and binding pocket characterization. They will use molecular dynamics simulations to understand ligand binding mechanisms and predict binding stability.
Molecular Docking and Virtual ScreeningView internship →
De Novo Drug Design and Scaffold Optimization
Interns will apply computational methods to design novel drug-like compounds and optimize existing scaffolds for improved binding affinity and selectivity. They will use fragment-based docking, QSAR modeling, and chemoinformatics tools to generate and evaluate new molecular structures.
Molecular Docking and Virtual ScreeningView internship →
Polypharmacology and Off-Target Prediction in Drug Candidates
Interns will screen drug candidate molecules against multiple off-target proteins to predict potential adverse effects and drug interactions. They will develop computational strategies to assess polypharmacological profiles and guide lead optimization toward higher selectivity and safety profiles.
Molecular Docking and Virtual ScreeningView internship →
SPR Sensor Development and Optimization
Interns will design and fabricate surface plasmon resonance biosensors using gold nanoparticles and thin films, optimizing optical properties and surface chemistry. They will characterize sensor performance through angular interrogation and wavelength modulation techniques to achieve enhanced sensitivity and specificity for biomolecular detection.
Surface Plasmon Resonance BiosensingView internship →
Protein-Ligand Interaction Kinetics Analysis
Interns will use SPR instruments to measure real-time binding kinetics between proteins and small molecule ligands, determining association rates (ka) and dissociation rates (kd). They will analyze sensorgrams using mathematical models and contribute to drug discovery pipelines by characterizing binding mechanisms.
Surface Plasmon Resonance BiosensingView internship →
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