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hbat

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therapeutics/hbat

HBAT 2: A Python Package to analyse Hydrogen Bonds and Other Non-covalent Interactions in Macromolecular Structures https://hbat-web.abhishek-tiwari.com

Machine-generated from the listed sources and not yet reviewed by a human.

hbat project image
GitHub preview card for abhishektiwari/hbat. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
bioinformatics · bioinformatics-tool · chemistry · computer-aided-drug-design · crystallography · drug-discovery · halogen-bonds · hydrogen-bonds · molecular-dynamics · molecular-dynamics-simulation · molecular-interactions · noncovalent-interactions · pdb · pi-interaction · protein-data-bank · protein-dna-interactions · protein-ligand-interactions · protein-protein-interaction · structural-bioinformatics · structural-biology
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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    Public repository of the PDBe ligand environment component

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    MD-ligand-receptor is a bioinformatics pipeline written in Python for analyzing non-covalent ligand-receptor interactions in 3D structures starting from a molecular dynamic trajectory.

  • arpeggiobioinformatics · molecular-interactions · pdb · structural-biology

    Calculation of interatomic interactions in molecular structures

  • pdb-toolsbioinformatics · pdb · structural-bioinformatics · structural-biology

    A dependency-free cross-platform swiss army knife for PDB files.

  • SENPAIchemistry · molecular-dynamics · molecular-dynamics-simulation

    Molecular dynamics simulation software

  • boltz2-notebookbioinformatics · bioinformatics-tool · drug-discovery · structural-biology

    Boltz2 Notebook – A streamlined Colab-based pipeline for protein structure prediction and binding affinity analysis using the Boltz2 deep learning model.

sources
  1. api.github.com/repos/abhishektiwari/hbat
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-10, 11 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/26.json→ .entries["hbat"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.