Community-Wide Assessment of Protein-Interface Modeling Suggests Improvements to Design Methodology.

Sarel J Fleishman Timothy A Whitehead Eva-Maria Strauch Jacob E Corn Sanbo Qin Huan-Xiang Zhou Julie C Mitchell Omar N A Demerdash Mayuko Takeda-Shitaka Genki Terashi Iain H Moal Xiaofan Li Paul A Bates Martin Zacharias Hahnbeom Park Jun-Su Ko Hasup Lee Chaok Seok Thomas Bourquard 1 Julie Bernauer 2 Anne Poupon 3 Jérôme Azé 2 Seren Soner Sefik Kerem Ovalı Pemra Ozbek Nir Ben Tal Türkan Haliloglu Howook Hwang Thom Vreven Brian G Pierce Zhiping Weng Laura Pérez-Cano Carles Pons Juan Fernández-Recio Fan Jiang Feng Yang Xinqi Gong Libin Cao Xianjin Xu Bin Liu Panwen Wang Chunhua Li Cunxin Wang Charles H Robert Mainak Guharoy Shiyong Liu Yangyu Huang Lin Li Dachuan Guo Ying Chen Yi Xiao Nir London Zohar Itzhaki Ora Schueler-Furman Yuval Inbar Vladimir Patapov Mati Cohen Gideon Schreiber Yuko Tsuchiya Eiji Kanamori Daron M Standley Haruki Nakamura Kengo Kinoshita Camden M Driggers Robert G Hall Jessica L Morgan Victor L Hsu Jian Zhan Yuedong Yang Yaoqi Zhou Panagiotis L Kastritis Alexandre M J J Bonvin Weiyi Zhang Carlos J Camacho Krishna P Kilambi Aroop Sircar Jeffrey J Gray Masahito Ohue Nobuyuki Uchikoga Yuri Matsuzaki Takashi Ishida Yutaka Akiyama Raed Khashan Stephen Bush Denis Fouches Alexander Tropsha Juan Esquivel-Rodríguez Daisuke Kihara P Benjamin Stranges Ron Jacak Brian Kuhlman Sheng-You Huang Xiaoqin Zou Shoshana J Wodak Joel Janin 4 David Baker
1 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
2 AMIB - Algorithms and Models for Integrative Biology
CNRS - Centre National de la Recherche Scientifique : UMR8623, Polytechnique - X, Inria Saclay - Ile de France, UP11 - Université Paris-Sud - Paris 11, LRI - Laboratoire de Recherche en Informatique, LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau]
Abstract : The CAPRI (Critical Assessment of Predicted Interactions) and CASP (Critical Assessment of protein Structure Prediction) experiments have demonstrated the power of community-wide tests of methodology in assessing the current state of the art and spurring progress in the very challenging areas of protein docking and structure prediction. We sought to bring the power of community-wide experiments to bear on a very challenging protein design problem that provides a complementary but equally fundamental test of current understanding of protein-binding thermodynamics. We have generated a number of designed protein-protein interfaces with very favorable computed binding energies but which do not appear to be formed in experiments, suggesting that there may be important physical chemistry missing in the energy calculations. A total of 28 research groups took up the challenge of determining what is missing: we provided structures of 87 designed complexes and 120 naturally occurring complexes and asked participants to identify energetic contributions and/or structural features that distinguish between the two sets. The community found that electrostatics and solvation terms partially distinguish the designs from the natural complexes, largely due to the nonpolar character of the designed interactions. Beyond this polarity difference, the community found that the designed binding surfaces were, on average, structurally less embedded in the designed monomers, suggesting that backbone conformational rigidity at the designed surface is important for realization of the designed function. These results can be used to improve computational design strategies, but there is still much to be learned; for example, one designed complex, which does form in experiments, was classified by all metrics as a nonbinder.
Type de document :
Article dans une revue
Journal of Molecular Biology, Elsevier, 2011, in press. 〈10.1016/j.jmb.2011.09.031〉
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https://hal.inria.fr/inria-00637848
Contributeur : Julie Bernauer <>
Soumis le : jeudi 3 novembre 2011 - 10:20:27
Dernière modification le : jeudi 11 janvier 2018 - 06:24:37

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Sarel J Fleishman, Timothy A Whitehead, Eva-Maria Strauch, Jacob E Corn, Sanbo Qin, et al.. Community-Wide Assessment of Protein-Interface Modeling Suggests Improvements to Design Methodology.. Journal of Molecular Biology, Elsevier, 2011, in press. 〈10.1016/j.jmb.2011.09.031〉. 〈inria-00637848〉

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