Sequence-based Function Prediction
Sequence-Based Function Prediction is a computational approach within protein function annotation that infers the biological function of a protein solely from its amino acid sequence by identifying evolutionary, structural, or physicochemical patterns conserved among functionally characterized homologs.
385
Publications
55.7K
Citations
1.3K
Authors
520
Institutions
Publications per year
2017–2026
121
Variants
Sequence-based Protein Function Prediction
Parents
385
InterProScan 5: genome-scale protein function classification
Philip Jones, David Binns, Hsin-Yu Chang et al. · Bioinformatics · 2014 · 10K citations · Full text
Life Sciences, Bioinformatics, High-performance Computing +8
Human non-synonymous SNPs: server and survey
Vasily Ramensky · Nucleic Acids Research · 2002 · 2.3K citations · Full text
1–5 of 385
1.3K
8
h-index
8
h-index
7
h-index
7
h-index
7
h-index
1–5 of 1.3K
520
University of California, Berkeley
Berkeley, United States
12 h-index
25 publications
2.9K citations
University of California, San Francisco
San Francisco, United States
9 h-index
23 publications
5.4K citations
National University of Singapore
Singapore, Singapore
9 h-index
38 publications
1.9K citations
University of California San Diego
San Diego, United States
8 h-index
19 publications
3.6K citations
Institute of Structural and Molecular Biology
London, United Kingdom
8 h-index
23 publications
2.1K citations

Shanghai Jiao Tong University
Shanghai, China
8 h-index
10 publications
947 citations
New York University
New York, United States
8 h-index
20 publications
4.8K citations
University College London
London, United Kingdom
8 h-index
24 publications
1.4K citations
1–8 of 520
42 publications · 16.2K citations
30
h-index
31 publications · 7.6K citations
30
h-index
29 publications · 2.1K citations
22
h-index
17 publications · 985 citations
14
h-index
Repository · 19 publications · 1.2K citations
14
h-index
1–5