Check out software developed by our group and other open-source freebies at ISB Lab GitHub.

Name		Description	Link
Disobind		A deep-learning method to predict inter-protein contact maps and interface residues for an IDR and a partner protein from their sequences	GitHub
Wall-EASAL		Integrative docking with crosslinks.	GitHub EASAL Software
NestOR		Nested sampling-based optimization of representation for integrative structural modeling.	GitHub
PrISM		Package to annotate high- and low-precision regions in integrative structure models. Now used by wwPDB to validate integrative models!	GitHub
StOP		Stochastic Optimization of Parameters (StOP) automates the tuning of MCMC parameters for stochastic sampling in IMP. - Check this tutorial for optimizing Monte Carlo move sizes/restraint weights. - And this tutorial for optimizing replica exchange temperatures.	GitHub
Sampcon		Pipeline for analyzing integrative models after MCMC sampling. Includes tests for assessing sampling exhaustiveness, clustering models, and calculating precision.	GitHub
Scoring functions for protein-protein docking and other utilities for parsing PDBs		PISA (atomic), PIE (residue), and C3 (combination) scoring functions for ranking models. Interface RMSD calculation, utilities for modifying PDBs, adding chain names, and running Modeller.	GitHub
StrIDR		StrIDR is a database of IDRs, confirmed via experimental or homology-based evidence, that are resolved in experimentally determined structures.	GitHub Database

Courses and Workshops

Integrative Modeling Tutorials and Workshops

• IMP Tutorial at EMBOCEM3DIP IISc Bangalore 2024. GitHub | Talks
• IMP Tutorial at MASFE IISER Pune 2023. GitHub | Talks
• IMP Workshops

Graduate Courses at NCBS

• Statistical Inference in Biology (internal link) co-taught with Dr Shaon Chakrabarti at NCBS.
• Crash course in Python taught during the Statistical Inference course.