A comprehensive computational benchmark for evaluating deep learning-based protein function prediction approaches.

ABSTRACT: Proteins play an important role in life activities and are the basic units for performing functions. Accurately annotating functions to proteins is crucial for understanding the intricate mechanisms of life and developing effective treatments for complex diseases. Traditional biological experiments struggle to keep pace with the growing number of known proteins. With the development of high-throughput sequencing technology, a wide variety of biological data provides the possibility to accurately predict protein functions by computational methods. Consequently, many computational methods have been proposed. Due to the diversity of application scenarios, it is necessary to conduct a comprehensive evaluation of these computational methods to determine the suitability of each algorithm for spe

SUBMITTER: Wang W 

PROVIDER: S-EPMC10883809 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature