Protein docking using continuum electrostatics and geometric fit.
By Jeffrey G. Mandell, V. Roberts, M. Pique, Vladimir Kotlovyi, Julie C. Mitchell, E. Nelson, I. Tsigelny, L. F. Eyck. Protein Engineering, 2001
311 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Materials Chemistry, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/e73af6c13ce051a4971eceb63eafd1f6cae9806b
How researchers see this paper
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In Computational Theory and Mathematics
- Carlos J. Camacho
- Sandor Vajda
- Stephen R. Comeau
- Zhiping Weng
- Li Li
- David W. Gatchell
- Jack Adam Tuszynski
- K. Syed
In Materials Chemistry
- D. Ritchie
- Zhiping Weng
- Stephan Eismann
- Jack Adam Tuszynski
- K. Syed
- N. S. Pagadala
- Ron O. Dror
- Raphael J. L. Townshend
In Molecular Biology
- D. Ritchie
- Sandor Vajda
- Carlos J. Camacho
- Zhiping Weng
- Stephen R. Comeau
- Li Li
- David W. Gatchell
- Rong Chen
Citations in the corpus
- Hierarchical, rotation‐equivariant neural networks to select structural models of protein complexes (2020, background): “Physicsinspired scoring functions include terms accounting for interatomic interactions and desolvation energy.(12-14) Statistical scoring functions”
- Predicting interactions of winged‐helix transcription factors with DNA (2004, methodology): “19,24 Interaction energies for all configura-tions of the two molecules are evaluated as correlation functions, which are efficiently computed with Fast Fourier Transforms.”
- ClusPro: an automated docking and discrimination method for the prediction of protein complexes (2004, methodology): “The current version includes two FFT-based docking programs, DOT (Mandell et al., 2001) and ZDOCK (Chen et al.”