1. Predicting and Experimentally Validating Hot-Spot Residues at Protein-Protein Interfaces
- Author
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Richard B. Sessions, Katherine A. Horner, Adam Nelson, Som Dutt, Gail J. Bartlett, Fruzsina Hobor, Zsófia Hegedüs, Derek N. Woolfson, Thomas A. Edwards, Amaurys Avila Ibarra, Kristina Hetherington, Andrew J. Wilson, and Kirstin Spence
- Subjects
0301 basic medicine ,Magnetic Resonance Spectroscopy ,Affimer ,Computer science ,In silico ,Chemical biology ,Nerve Tissue Proteins ,Hot spot (veterinary medicine) ,BrisSynBio ,Computational biology ,Molecular Dynamics Simulation ,01 natural sciences ,Biochemistry ,Mice ,03 medical and health sciences ,Synthetic biology ,Molecular dynamics ,Animals ,Humans ,Amino Acids ,010405 organic chemistry ,Protein protein ,Bristol BioDesign Institute ,Proteins ,Articles ,General Medicine ,Alanine scanning ,Rats ,SAP90-PSD95 Associated Proteins ,0104 chemical sciences ,SYNTHETIC BIOLOGY ,030104 developmental biology ,Mutagenesis, Site-Directed ,Small Ubiquitin-Related Modifier Proteins ,Myeloid Cell Leukemia Sequence 1 Protein ,Molecular Medicine ,Protein Multimerization ,Protein Binding - Abstract
Protein-protein interactions (PPIs) are vital to all biological processes. These interactions are often dynamic, sometimes transient, typically occur over large topographically shallow protein surfaces, and can exhibit a broad range of affinities. Considerable progress has been made in determining PPI structures. However, given the above properties, understanding the key determinants of their thermodynamic stability remains a challenge in chemical biology. An improved ability to identify and engineer PPIs would advance understanding of biological mechanisms and mutant phenotypes, and also, provide a firmer foundation for inhibitor design. In silico prediction of PPI hot-spot amino acids using computational alanine scanning (CAS) offers a rapid approach for predicting key residues that drive protein-protein association. This can be applied to all known PPI structures, however there is a trade-off between throughput and accuracy. Here we describe a comparative analysis of multiple CAS methods, which highlights effective approaches to improve the accuracy of predicting hot-spot residues. Alongside this, we introduce a new method, BUDE Alanine Scanning, which can be applied to single structures from crystallography, and to structural ensembles from NMR or molecular dynamics data. The comparative analyses facilitate accurate prediction of hot-spots that we validate experimentally with three diverse targets: NOXA-B/MCL-1 (an α helix-mediated PPI), SIMS/SUMO and GKAP/SHANK-PDZ (both β strand-mediated interactions). Finally, the approach is applied to the accurate prediction of hot-residues at a topographically novel Affimer/BCL-xL protein-protein interface.
- Published
- 2019
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