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AVIDa-SARS-CoV-2

imported

data/avida-sars-cov-2

Code for NeurIPS 2024 paper "A SARS-CoV-2 Interaction Dataset and VHH Sequence Corpus for Antibody Language Models"

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

AVIDa-SARS-CoV-2 project image
GitHub preview card for cognano/AVIDa-SARS-CoV-2. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Data & Standards
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
cognano
Country
unknown
Documentation
unknown
Tags
antibody · antigen-antibody-interaction · dataset · drug-discovery · language-model · vhh
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.

  • AVIDa-hIL6antibody · antigen-antibody-interaction · dataset · drug-discovery · vhh

    Code for NeurIPS 2023 paper "AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions"

  • ablanxantibody · drug-discovery

    JAX/Flax port of AbLang2's AbRep encoder: differentiable antibody language-model embeddings and per-block attention, loading the original weights unchanged.

  • moleculegen-mldrug-discovery · language-model

    Generate novel molecules using neural language models

  • migecantibody

    An UMI-tagged sequencing swiss-knife. Built for amplicon sequencing of immune repertoires, ctDNA and rare mutations, single-cell sequencing.

  • vdjtoolsantibody

    Analysis of immune repertoire sequencing results

  • BciPylanguage-model

    Python Brain-Computer Interface Software

sources
  1. api.github.com/repos/cognano/AVIDa-SARS-CoV-2
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2024-10-17, 16 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/16.json→ .entries["avida-sars-cov-2"]

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