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Structural Bioinformatics Internship Topics

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

Structural Bioinformatics Internships with Accommodation

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Showing 13–20 of 20 internship topics
Antibody-Antigen Interface Prediction and Docking Optimization
Interns will build machine learning pipelines to predict antibody-antigen binding interfaces and optimize docking predictions using structural features and graph neural networks. They will validate predictions against experimental co-crystal structures and PDBs.
AI Antibody Structure ResearchView internship →
Structural Conformational Analysis of Antibody Variants
Interns will analyze conformational changes in antibody structures caused by point mutations using molecular dynamics simulations and AI-based structure prediction tools like AlphaFold2. They will develop workflows to correlate sequence variations with functional stability and binding efficiency.
AI Antibody Structure ResearchView internship →
Immunogenicity and Developability Prediction Using AI
Interns will create machine learning models integrating structural features, sequence composition, and biophysical properties to predict antibody immunogenicity, aggregation propensity, and manufacturability. They will work with proprietary and public databases to train and validate predictive algorithms for therapeutic antibody design.
AI Antibody Structure ResearchView internship →
Protein Conformational Dynamics and State Transitions
Interns will analyze molecular dynamics trajectories to identify and characterize protein conformational states, transition pathways, and energy landscapes. They will use clustering algorithms and free energy calculations to map out how proteins move between functional conformations during their biological processes.
Molecular Dynamics Trajectory AnalysisView internship →
Ligand Binding Kinetics and Thermodynamics from MD Simulations
Interns will extract binding kinetic parameters (on/off rates) and thermodynamic properties from MD trajectories using techniques like umbrella sampling and weighted histogram analysis method (WHAM). They will quantify ligand-protein interactions and correlate simulation data with experimental binding assays.
Molecular Dynamics Trajectory AnalysisView internship →
Water and Ion Dynamics in Protein Solvation Shells
Interns will analyze trajectory data to study water molecule behavior, hydration shell dynamics, and ion interactions around proteins and active sites. They will calculate residence times, diffusion coefficients, and characterize how solvation influences protein stability and reactivity.
Molecular Dynamics Trajectory AnalysisView internship →
Protein-Protein Interaction Network Analysis from Ensemble Simulations
Interns will process and analyze multiple MD trajectories to identify transient protein-protein interfaces, contact residues, and interaction networks. They will use contact maps, network analysis tools, and statistical methods to reveal mechanistic details of protein complex formation and dissociation.
Molecular Dynamics Trajectory AnalysisView internship →
Structural Stability and Flexibility Assessment through RMSF and B-factor Correlations
Interns will calculate root mean square fluctuation (RMSF), compare MD-derived B-factors with experimental crystallography data, and identify flexible regions in protein structures. They will correlate dynamics with functional importance and predict allosteric sites based on trajectory-derived mobility patterns.
Molecular Dynamics Trajectory AnalysisView internship →
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