Sequence Specificity Modeling
Sequence Specificity Modeling is a computational method that predicts the binding or cleavage preferences of molecular agents at target sites by characterizing the nucleotide or amino acid sequence features that distinguish high-affinity or functional sites from non-functional ones.
101
Publications
7.6K
Citations
422
Authors
195
Institutions
Publications per year
2017–2026
22
Parents
101
NRPSpredictor2—a web server for predicting NRPS adenylation domain specificity
Marc Röttig, Marnix H. Medema, Kai Blin et al. · Nucleic Acids Research · 2011 · 631 citations · Full text
Convolutional neural network architectures for predicting DNA–protein binding
Haoyang Zeng, Matthew D. Edwards, Ge Liu et al. · Bioinformatics · 2016 · 549 citations · Full text
1–5 of 101
422
National Institutes for Quantum Science and Technology, Japan
3 publications · 119 citations
3
h-index
3
h-index
3
h-index
3
h-index
3
h-index
1–5 of 422
195
University of Washington
Seattle, United States
5 h-index
34 publications
1.1K citations
Harvard University
Cambridge, United States
5 h-index
15 publications
1.5K citations
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
14 publications
2.7K citations

Howard Hughes Medical Institute
Chevy Chase, United States
4 h-index
15 publications
897 citations
Inserm
Paris, France
4 h-index
16 publications
625 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
8 publications
264 citations

Brigham and Women's Hospital
Boston, United States
3 h-index
6 publications
955 citations
Columbia University
New York, United States
3 h-index
8 publications
286 citations
1–8 of 195
15 publications · 1.6K citations
13
h-index
8 publications · 956 citations
8
h-index
6 publications · 955 citations
6
h-index
JACS · 5 publications · 205 citations
5
h-index
PNAS · 5 publications · 275 citations
5
h-index
1–5