Computational Peptide Design
Computational Peptide Design is a systematic approach in computational biology that employs algorithmic and biophysical modeling techniques to rationally construct novel peptide sequences with desired therapeutic properties, distinguishing it from experimental or empirical peptide discovery methods by its reliance on in silico prediction and optimization.
400
Publications
23.9K
Citations
1.8K
Authors
729
Institutions
Publications per year
2017–2026
222
Parents
400
Prabina Kumar Meher, Tanmaya Kumar Sahu, Varsha Saini et al. · Scientific Reports · 2017 · 530 citations · Full text
Accurate de novo design of hyperstable constrained peptides
Gaurav Bhardwaj, Vikram Khipple Mulligan, Christopher D. Bahl et al. · Nature · 2016 · 467 citations
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
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729
Institute of Microbial Technology
Chandigarh, India
12 h-index
51 publications
8.4K citations
University of Washington
Seattle, United States
11 h-index
74 publications
8.3K citations

University of British Columbia
Vancouver, Canada
9 h-index
36 publications
5.9K citations

Indraprastha Institute of Information Technology Delhi
Delhi, India
9 h-index
37 publications
3.3K citations
ETH Zurich
Zurich, Switzerland
8 h-index
52 publications
3.3K citations

University of Electronic Science and Technology of China
Chengdu, China
8 h-index
23 publications
2.1K citations
North Carolina State University
Raleigh, United States
8 h-index
23 publications
445 citations
Massachusetts Institute of Technology
Cambridge, United States
8 h-index
25 publications
2.6K citations
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17 publications · 1.9K citations
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JMB · 12 publications · 604 citations
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11 publications · 1.3K citations
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JCIM · 12 publications · 691 citations
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Repository · 11 publications · 410 citations
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