What one can learn from experiments about the elusive transition state?
Iksoo Chang, Marek Cieplak, Jayanth R. Banavar, Amos Maritan
Abstract
We present the results of an exact analysis of a model energy landscape of a protein to clarify the notion of the transition state and the physical meaning of the ϕ values determined in protein engineering experiments. We benchmark our findings to various theoretical approaches proposed in the literature for the identification and characterization of the transition state.
Create a lesson
Related papers
Discrete Backbone Elasticity and Curvature-Dependent Torsion Statistics in Proteins
Yiquan Wang, Mingyu Bian, Jiayuan Ma
Ablating Design Choices for Protein Ensemble Generators Across Structural Regimes
Eoin Quinn, Oliver Bent
Predicting protein structures at any folding stage from sequence
Lisheng Zhang, Qingsong Li, Zinan Xie et al.
Automatic Generation of Novel Highly-Functional Molecular Sequences
Vincent R. Ragusa, Chrisoph Adami
D2ML: Models for Direct-to-Biology Small Molecule Screening
AkshatKumar Nigam, Neri Amara, Hillary Dequina et al.
Contribution of chromosome-naïve transposon-seeded network of DNA templates to intracellular pools of protein dimers of liquid-liquid phase-separated condensate-forming proteins
Gennadi Glinsky