ProFAB-open protein functional annotation benchmark

Date

2023-02-01

Author

Ozdilek, A. Samet
Atakan, Ahmet
Ozsari, Goekhan
Acar, Aybar
Atalay, Mustafa Ümit
DOĞAN, TUNCA
RİFAİOĞLU, AHMET SÜREYYA

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As the number of protein sequences increases in biological databases, computational methods are required to provide accurate functional annotation with high coverage. Although several machine learning methods have been proposed for this purpose, there are still two main issues: (i) construction of reliable positive and negative training and validation datasets, and (ii) fair evaluation of their performances based on predefined experimental settings. To address these issues, we have developed ProFAB: Open Protein Functional Annotation Benchmark, which is a platform providing an infrastructure for a fair comparison of protein function prediction methods. ProFAB provides filtered and preprocessed protein annotation datasets and enables the training and evaluation of function prediction methods via several options. We believe that ProFAB will be useful for both computational and experimental researchers by enabling the utilization of ready-to-use datasets and machine learning algorithms for protein function prediction based on Gene Ontology terms and Enzyme Commission numbers. ProFAB is available at and .

URI

https://hdl.handle.net/11511/102307

Journal

BRIEFINGS IN BIOINFORMATICS

DOI

https://doi.org/10.1093/bib/bbac627

Collections

Department of Computer Engineering, Article

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Citation Formats

A. S. Ozdilek et al., “ProFAB-open protein functional annotation benchmark,” BRIEFINGS IN BIOINFORMATICS, pp. 0–0, 2023, Accessed: 00, 2023. [Online]. Available: https://hdl.handle.net/11511/102307.