raghavagps/toxinpred2
An improved method for predicting toxicity of proteins
This tool helps researchers and scientists identify potentially toxic protein or peptide sequences. You provide protein or peptide sequences in standard FASTA format or as plain text, and it outputs a CSV file indicating which sequences are predicted to be toxic. It's designed for biologists, biochemists, and toxicologists who need to screen protein sequences for safety or potential adverse effects.
No commits in the last 6 months.
Use this if you need to quickly assess the toxicity potential of a set of protein or peptide sequences before further experimental work or drug development.
Not ideal if you need to predict detailed toxicity mechanisms, understand dose-response relationships, or evaluate toxicity in complex biological systems.
Stars
18
Forks
6
Language
Perl
License
GPL-3.0
Category
Last pushed
Aug 26, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/raghavagps/toxinpred2"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
CompOmics/DeepLC
DeepLC: Retention time prediction for peptides carrying any modification.
BojarLab/glycowork
Package for processing and analyzing glycans and their role in biology.
wilhelm-lab/dlomix
Python framework for Deep Learning in Proteomics
BojarLab/CandyCrunch
Predicting glycan structure from LC-MS/MS data
sidhomj/DeepTCR
Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data