deepchem / deepchem/deepbiologic
Biophysical properties of the clinical-stage antibody landscape
- 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