deepchem / deepchem/deepbiologic

Biophysical properties of the clinical-stage antibody landscape

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Dominant language
Python
Stars
16
Forks
6
PR merge metrics
No merged PRs in 30d

Description

http://www.pnas.org/content/114/5/944.full

Contains a large (by standards of field :-)) dataset of all antibodies tested in phase-2 or phase-3 clinical trials measured "criteria regarding the feasibility of their manufacture, stability in storage, and absence of off-target stickiness."

This could be a valuable dataset for benchmarking antibody algorithmic techniques.

Contributor guide

No contributing guide indexed for this repository

Research direction

Start by reviewing the linked PNAS article and its clinical-stage antibody dataset. The issue proposes using the data to benchmark antibody algorithms, but it names no repository files, tests, entry points, or concrete integration criteria; a clear dataset and benchmark scope would be needed before implementation.

Written by the indexing model from the issue text.

Assessment

Domain
bioinformatics, machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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