DL-PPI: a method on prediction of sequenced protein-protein interaction based on deep learning.

ABSTRACT:

Purpose

Sequenced Protein-Protein Interaction (PPI) prediction represents a pivotal area of study in biology, playing a crucial role in elucidating the mechanistic underpinnings of diseases and facilitating the design of novel therapeutic interventions. Conventional methods for extracting features through experimental processes have proven to be both costly and exceedingly complex. In light of these challenges, the scientific community has turned to computational approaches, particularly those grounded in deep learning methodologies. Despite the progress achieved by current deep learning technologies, their effectiveness diminishes when applied to larger, unfamiliar datasets.

Results

In this study, the paper introduces a novel deep learning framework, termed DL-PPI, for pred

SUBMITTER: Wu J 

PROVIDER: S-EPMC10722729 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature