Scoring Functions for Protein–Ligand Interactions
Abstract
This chapter contains sections titled: Introduction Scoring Protein–Ligand Interactions: What for and How to? Application of Scoring Functions: What Is Possible and What Is Not? Thermodynamic Contributions and Intermolecular Interactions: Which Are Accounted for and Which Are Not? Conclusions or What Remains to be Done and What Can be Expected? Acknowledgments References
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The advantage of nonlinear scoring functions partially circumvents the problematic modeling assumptions of linear models.
“This advantage of nonlinear scoring functions partially circumvents the problematic modeling assumptions of linear models (Dill, 1997; Baum et al., 2010; Sotriffer, 2012).”
From Empirical scoring functions for structure-based virtual screening: applications, critical aspects, and challenges (2018) · cites this paper as Sotriffer, 2012
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References 141 · Cited by 16
- Authors
- Sotriffer, C.
- Affiliations
- University of Würzburg (DE)
- Corresponding author
- Sotriffer, Christoph
- ORCID
- Sotriffer, Christoph
- Venue
- Protein‐Ligand Interactions
- Publisher
- Wiley
- Published
- 2012-04-18
- Pages
- 237-263
- OpenAlex
- W1566752206
- Cited by
- 16
- References
- 141
- Citations by year
- 2018: 1 · 2017: 4 · 2016: 2 · 2015: 2 · 2014: 4 · 2013: 2 · 2012: 1
- Type
- other
- Language
- en
- Open access
- closed
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Physical Sciences › Chemistry › Physical and Theoretical Chemistry › thermodynamics and calorimetric analyses
- Keywords
- protein-ligand interactions, scoring functions, binding affinity prediction, thermodynamic contribution, intermolecular interactions, molecular docking, virtual screening
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