PreTP-2L: identification of therapeutic peptides and their types using two-layer ensemble learning framework.

ABSTRACT:

Motivation

Therapeutic peptides play an important role in immune regulation. Recently various therapeutic peptides have been used in the field of medical research, and have great potential in the design of therapeutic schedules. Therefore, it is essential to utilize the computational methods to predict the therapeutic peptides. However, the therapeutic peptides cannot be accurately predicted by the existing predictors. Furthermore, chaotic datasets are also an important obstacle of the development of this important field. Therefore, it is still challenging to develop a multi-classification model for identification of therapeutic peptides and their types.

Results

In this work, we constructed a general therapeutic peptide dataset. An ensemble-learning method named PreTP-2L was

SUBMITTER: Yan K 

PROVIDER: S-EPMC10076046 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature