ToxinPred2: an improved method for predicting toxicity of proteins
Indraprastha Institute of Information Technology Delhi
Abstract
Proteins/peptides have shown to be promising therapeutic agents for a variety of diseases. However, toxicity is one of the obstacles in protein/peptide-based therapy. The current study describes a web-based tool, ToxinPred2, developed for predicting the toxicity of proteins. This is an update of ToxinPred developed mainly for predicting toxicity of peptides and small proteins. The method has been trained, tested and evaluated on three datasets curated from the recent release of the SwissProt. To provide unbiased evaluation, we performed internal validation on 80% of the data and external validation on the remaining 20% of data. We have implemented the following techniques for predicting protein toxicity; (i)…
Citation impact
- FWCI
- 24.51
- Percentile
- 100%
- References
- 55
Authors
4- NSNeelam Sharma
Indraprastha Institute of Information Technology Delhi
- LDLeimarembi Devi Naorem
Indraprastha Institute of Information Technology Delhi
- SJShipra Jain
Indraprastha Institute of Information Technology Delhi
- GPGajendra P. S. RaghavaCorresponding
Indraprastha Institute of Information Technology Delhi
Topics & keywords
- Computer science
- Matthews correlation coefficient
- Machine learning
- Similarity (geometry)
- Artificial intelligence
- Data mining
- Support vector machine