Overview of the proposed methodology for predicting AtbPpred that involved the following steps. (i) dataset construction, (ii) feature extraction and their optimization using two-step feature selection protocol, (iii) construction of two-layer prediction model, and (iv) assessment of performance and development of webserver.
Reference
AtbPpred: A robust sequence-based prediction of anti-tubercular peptides using extremely randomized trees (Computational and Structural Biotechnology Journal ) [Please cite this paper if you find AtbPpred useful in your research]
