Conformation-based Affinity Prediction
Conformation-Based Affinity Prediction is a computational method in binding affinity prediction that specifically accounts for the three-dimensional structural arrangements of molecules to estimate interaction strength, distinguishing itself by incorporating conformational dynamics and variability as critical determinants of binding outcomes.
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2.8K
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311
Authors
145
Institutions
Publications per year
2017–2026
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Parents
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Zeynep Kurkcuoglu, Panagiotis I. Koukos, Nevia Citro et al. · Journal of Computer-Aided Molecular Design · 2017 · 140 citations · Full text
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Rutgers, The State University of New Jersey, United States
2 publications · 144 citations
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145
University of Michigan
Ann Arbor, United States
4 h-index
17 publications
370 citations
North Carolina State University
Raleigh, United States
2 h-index
5 publications
95 citations

Cornell University
Ithaca, United States
2 h-index
4 publications
210 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
2 h-index
9 publications
798 citations
California Institute of Technology
Pasadena, United States
2 h-index
5 publications
390 citations

Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
2 h-index
8 publications
165 citations

Johns Hopkins University
Baltimore, United States
2 h-index
4 publications
165 citations
Stanford University
Stanford, United States
2 h-index
2 publications
218 citations
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4 publications · 262 citations
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JCTC · 4 publications · 141 citations
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4 publications · 190 citations
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3 publications · 135 citations
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PNAS · 3 publications · 347 citations
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