Literature DB >> 25986686

The Role of Water Occlusion for the Definition of a Protein Binding Hot-Spot.

Irina S Moreira1.   

Abstract

Biological systems rely on the establishment of interactions between biomolecules, which take place in the aqueous environment of the cell. It was already demonstrated that a small set of residues at the interface, Hot-Spots(HS), contributes significantly to the binding free energy. However, these energetic determinants of affinity and specificity are still not fully understood. Moreover, the contribution of water to their HS character is also poorly characterized. In this review, we have focused on the structural data available that support the occlusion of HS from solvent, and therefore the "O-ring theory"not only on protein-protein but also on protein-DNA complexes. We also emphasized the use of Solvent Accessible Surface Area (SASA) features in a variety of machine-learning approaches that aim to detect binding HS.

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Year:  2015        PMID: 25986686     DOI: 10.2174/1568026615666150519103733

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  5 in total

1.  A Machine Learning Approach for Hot-Spot Detection at Protein-Protein Interfaces.

Authors:  Rita Melo; Robert Fieldhouse; André Melo; João D G Correia; Maria Natália D S Cordeiro; Zeynep H Gümüş; Joaquim Costa; Alexandre M J J Bonvin; Irina S Moreira
Journal:  Int J Mol Sci       Date:  2016-07-27       Impact factor: 5.923

2.  SpotOn: High Accuracy Identification of Protein-Protein Interface Hot-Spots.

Authors:  Irina S Moreira; Panagiotis I Koukos; Rita Melo; Jose G Almeida; Antonio J Preto; Joerg Schaarschmidt; Mikael Trellet; Zeynep H Gümüş; Joaquim Costa; Alexandre M J J Bonvin
Journal:  Sci Rep       Date:  2017-08-14       Impact factor: 4.379

3.  A novel computational strategy for defining the minimal protein molecular surface representation.

Authors:  Greta Grassmann; Mattia Miotto; Lorenzo Di Rienzo; Giorgio Gosti; Giancarlo Ruocco; Edoardo Milanetti
Journal:  PLoS One       Date:  2022-04-14       Impact factor: 3.240

4.  SPOTONE: Hot Spots on Protein Complexes with Extremely Randomized Trees via Sequence-Only Features.

Authors:  A J Preto; Irina S Moreira
Journal:  Int J Mol Sci       Date:  2020-10-01       Impact factor: 5.923

5.  SARS-CoV-2 Membrane Protein: From Genomic Data to Structural New Insights.

Authors:  Catarina Marques-Pereira; Manuel N Pires; Raquel P Gouveia; Nádia N Pereira; Ana B Caniceiro; Nícia Rosário-Ferreira; Irina S Moreira
Journal:  Int J Mol Sci       Date:  2022-03-10       Impact factor: 5.923

  5 in total

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