Peptide Sequence Optimization
Peptide Sequence Optimization is a computational or experimental methodology that systematically modifies the amino acid sequence of a peptide to enhance its pharmacological properties, stability, or target specificity while maintaining structural integrity within the context of drug discovery.
325
Publications
15.8K
Citations
1.7K
Authors
568
Institutions
Publications per year
2017–2026
128
Parents
325
iACP: a sequence-based tool for identifying anticancer peptides
Wei Chen, Hui Ding, Pengmian Feng et al. · Oncotarget · 2016 · 436 citations · Full text
Pharmacy, Bioinformatics, Oncology +15
1–5 of 325
1.7K
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5
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4
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1–5 of 1.7K
568
The University of Tokyo
Tokyo, Japan
9 h-index
30 publications
1.1K citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
30 publications
946 citations

University of Electronic Science and Technology of China
Chengdu, China
6 h-index
14 publications
1.6K citations
Massachusetts Institute of Technology
Cambridge, United States
6 h-index
31 publications
2.9K citations

Cornell University
Ithaca, United States
5 h-index
18 publications
680 citations
Princeton University
Princeton, United States
5 h-index
20 publications
1.1K citations
Freie Universität Berlin
Berlin, Germany
5 h-index
21 publications
928 citations
ETH Zurich
Zurich, Switzerland
5 h-index
31 publications
1.6K citations
1–8 of 568
JBC · 9 publications · 1.1K citations
9
h-index
8 publications · 378 citations
8
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JACS · 8 publications · 588 citations
8
h-index
BBRC · 7 publications · 310 citations
7
h-index
PNAS · 7 publications · 634 citations
7
h-index
1–5