Raphaël A. G. Chaleil

ORCID: 0000-0003-2759-2088
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Research Areas
  • Protein Structure and Dynamics
  • Microbial Metabolic Engineering and Bioproduction
  • Computational Drug Discovery Methods
  • Bioinformatics and Genomic Networks
  • Enzyme Structure and Function
  • Gene Regulatory Network Analysis
  • Machine Learning in Bioinformatics
  • Genomics and Chromatin Dynamics
  • Cell Adhesion Molecules Research
  • RNA and protein synthesis mechanisms
  • Cellular Mechanics and Interactions
  • Monoclonal and Polyclonal Antibodies Research
  • Protein Kinase Regulation and GTPase Signaling
  • DNA and Nucleic Acid Chemistry
  • Medicinal plant effects and applications
  • Photosynthetic Processes and Mechanisms
  • Protein purification and stability
  • 14-3-3 protein interactions
  • Melanoma and MAPK Pathways
  • Endoplasmic Reticulum Stress and Disease
  • Wnt/β-catenin signaling in development and cancer
  • Immune Cell Function and Interaction
  • Receptor Mechanisms and Signaling
  • DNA Repair Mechanisms
  • 3D Printing in Biomedical Research

The Francis Crick Institute
2015-2025

The Honourable Society of Lincoln's Inn
2002-2016

Universitat Politècnica de Catalunya
2013

Cancer Research UK
2007-2013

Barcelona Supercomputing Center
2013

Imperial College London
2002-2006

Abstract Summary: Protein–protein interactions are central to almost all biological functions, and the atomic details of such can yield insights into mechanisms that underlie these functions. We present a web server wraps extends SwarmDock flexible protein–protein docking algorithm. After uploading PDB files binding partners, generates low energy conformations returns ranked list clustered poses their corresponding structures. The user perform full global docking, or focus on particular...

10.1093/bioinformatics/btt038 article EN Bioinformatics 2013-01-23
Marc F. Lensink Sameer Velankar Andriy Kryshtafovych Shen‐You Huang Dina Schneidman‐Duhovny and 95 more Andrej Šali Joan Segura Narcís Fernández‐Fuentes Shruthi Viswanath Ron Elber Sergei Grudinin Petr Popov Émilie Neveu Hasup Lee Minkyung Baek Sangwoo Park Lim Heo Gyu Rie Lee Chaok Seok Sanbo Qin Huan‐Xiang Zhou David W. Ritchie Bernard Maigret Marie‐Dominique Devignes Anisah W. Ghoorah Mieczyslaw Torchala Raphaël A. G. Chaleil Paul A. Bates Efrat Ben‐Zeev Miriam Eisenstein Surendra S. Negi Zhiping Weng Thom Vreven Brian G. Pierce Tyler Borrman Jinchao Yu Françoise Ochsenbein Raphaël Guérois Anna Vangone João Rodrigues Gydo van Zundert Mehdi Nellen Li C. Xue Ezgi Karaca Adrien S. J. Melquiond Koen M. Visscher Panagiotis L. Kastritis Alexandre M. J. J. Bonvin Xianjin Xu Liming Qiu Chengfei Yan Jilong Li Zhiwei Ma Jianlin Cheng Xiaoqin Zou Yang Shen Lenna X. Peterson Hyungrae Kim Amit Roy Xusi Han Juan Esquivel‐Rodríguez Daisuke Kihara Xiaofeng Yu Neil J. Bruce Jonathan C. Fuller Rebecca C. Wade Ivan Anishchenko Petras J. Kundrotas Ilya A. Vakser Kenichiro Imai Kazunori Yamada Toshiyuki Oda Tsukasa Nakamura Kentaro Tomii Chiara Pallara Miguel Romero‐Durana Brian Jiménez‐García Iain H. Moal Juan Fernández‐Recio Jong Young Joung Jong Yun Kim Keehyoung Joo Jooyoung Lee Dima Kozakov Sándor Vajda Scott E. Mottarella David R. Hall Dmitri Beglov Artem B. Mamonov Bing Xia Tanggis Bohnuud Carlos A. Del Carpio Eichiro Ichiishi Nicholas Marze Daisuke Kuroda Shourya S. Roy Burman Jeffrey J. Gray Edrisse Chermak Luigi Cavallo Romina Oliva

We present the results for CAPRI Round 30, first joint CASP-CAPRI experiment, which brought together experts from protein structure prediction and protein-protein docking communities. The comprised 25 targets amongst those submitted CASP11 experiment of 2014. included mostly homodimers, a few homotetramers, two heterodimers, chains that could readily be modeled using templates Protein Data Bank. On average 24 groups 7 CASP predictions each target, 12 per target participated in scoring...

10.1002/prot.25007 article EN cc-by Proteins Structure Function and Bioinformatics 2016-04-28
Marc F. Lensink Guillaume Brysbaert Nurul Nadzirin Sameer Velankar Raphaël A. G. Chaleil and 95 more Tereza Gerguri Paul A. Bates Élodie Laine Alessandra Carbone Sergei Grudinin Ren Kong Ran‐Ran Liu Ximing Xu Hang Shi Shan Chang Miriam Eisenstein Agnieszka Karczyńska Cezary Czaplewski Emilia A. Lubecka Agnieszka G. Lipska Paweł Krupa Magdalena A. Mozolewska Łukasz Golon Sergey A. Samsonov Adam Liwo Silvia Crivelli Guillaume Pagès Mikhail Karasikov Maria Kadukova Yumeng Yan Sheng‐You Huang Mireia Rosell Luis Ángel Rodríguez-Lumbreras Miguel Romero‐Durana Lucía Díaz Juan Fernández‐Recio Charles Christoffer Genki Terashi Woong‐Hee Shin Tunde Aderinwale Sai Raghavendra Maddhuri Venkata Subraman Daisuke Kihara Dima Kozakov Sándor Vajda Kathryn Porter Dzmitry Padhorny Israel Desta Dmitri Beglov Mikhail Ignatov Sergey Kotelnikov Iain H. Moal David W. Ritchie Isaure Chauvot de Beauchêne Bernard Maigret Marie‐Dominique Devignes Maria Elisa Ruiz Echartea Didier Barradas‐Bautista Zhen Cao Luigi Cavallo Romina Oliva Yue Cao Yang Shen Minkyung Baek Taeyong Park Hyeonuk Woo Chaok Seok Merav Braitbard Lirane Bitton Dina Scheidman‐Duhovny Justas Dapkūnas Kliment Olechnovič Česlovas Venclovas Petras J. Kundrotas Saveliy Belkin Devlina Chakravarty Varsha D. Badal Ilya A. Vakser Thom Vreven Sweta Vangaveti Tyler Borrman Zhiping Weng Johnathan D. Guest Ragul Gowthaman Brian G. Pierce Xianjin Xu Rui Duan Liming Qiu Jie Hou Benjamin Ryan Merideth Zhiwei Ma Jianlin Cheng Xiaoqin Zou Panagiotis I. Koukos Jorge Roel‐Touris Francesco Ambrosetti Cunliang Geng Jörg Schaarschmidt Mikaël Trellet Adrien S. J. Melquiond Li C. Xue

We present the results for CAPRI Round 46, third joint CASP-CAPRI protein assembly prediction challenge. The comprised a total of 20 targets including 14 homo-oligomers and 6 heterocomplexes. Eight homo-oligomer one heterodimer proteins that could be readily modeled using templates from Protein Data Bank, often available full assembly. remaining 11 5 homodimers, 3 heterodimers, two higher-order assemblies. These were more difficult to model, as their mainly involved "ab-initio" docking...

10.1002/prot.25838 article EN Proteins Structure Function and Bioinformatics 2019-10-15

Mitotic chromosomes were one of the first cell biological structures to be described, yet their molecular architecture remains poorly understood. We have devised a simple biophysical model 300 kb-long nucleosome chain, size budding yeast chromosome, constrained by interactions between binding sites chromosomal condensin complex, key component interphase and mitotic chromosomes. Comparisons computational experimental (4C) interaction maps, other features, allow us predict mode action....

10.7554/elife.05565 article EN cc-by eLife 2015-04-29
Marc F. Lensink Guillaume Brysbaert Théo Mauri Nurul Nadzirin Sameer Velankar and 95 more Raphaël A. G. Chaleil Tereza Clarence Paul A. Bates Ren Kong Bin Liu Guangbo Yang Ming Liu Hang Shi Xufeng Lu Shan Chang Raj S. Roy Farhan Quadir Jian Liu Jianlin Cheng Anna Antoniak Cezary Czaplewski Artur Giełdoń Mateusz Kogut Agnieszka G. Lipska Adam Liwo Emilia A. Lubecka Martyna Maszota‐Zieleniak Adam K. Sieradzan Rafał Ślusarz Patryk A. Wesołowski Karolina Zięba Carlos Adriel Del Carpio Munoz Eiichiro Ichiishi Ameya Harmalkar Jeffrey J. Gray Alexandre M. J. J. Bonvin Francesco Ambrosetti Rodrigo V. Honorato Zuzana Jandová Brian Jiménez‐García Panagiotis I. Koukos Siri van Keulen Charlotte W. van Noort Manon Réau Jorge Roel‐Touris Sergei Kotelnikov Dzmitry Padhorny Kathryn A. Porter Andrey Alekseenko Mikhail Ignatov Israel Desta Ryota Ashizawa Zhuyezi Sun Usman Ghani Nasser Hashemi Sándor Vajda Dima Kozakov Mireia Rosell Luis Ángel Rodríguez-Lumbreras Juan Fernández‐Recio Agnieszka Karczyńska Sergei Grudinin Yumeng Yan Hao Li Peicong Lin Sheng‐You Huang Charles Christoffer Genki Terashi Jacob Verburgt Daipayan Sarkar Tunde Aderinwale Xiao Wang Daisuke Kihara Tsukasa Nakamura Yuya Hanazono Ragul Gowthaman Johnathan D. Guest Rui Yin Ghazaleh Taherzadeh Brian G. Pierce Didier Barradas‐Bautista Zhen Cao Luigi Cavallo Romina Oliva Yuanfei Sun Shaowen Zhu Yang Shen Taeyong Park Hyeonuk Woo Jinsol Yang Sohee Kwon Jonghun Won Chaok Seok Yasuomi Kiyota Shinpei Kobayashi Yoshiki Harada Mayuko Takeda‐Shitaka Petras J. Kundrotas Amar Singh Ilya A. Vakser

Abstract We present the results for CAPRI Round 50, fourth joint CASP‐CAPRI protein assembly prediction challenge. The comprised a total of twelve targets, including six dimers, three trimers, and higher‐order oligomers. Four these were easy which good structural templates available either full assembly, or main interfaces (of oligomers). Eight difficult targets only distantly related found individual subunits. Twenty‐five groups eight automatic servers submitted ~1250 models per target....

10.1002/prot.26222 article EN Proteins Structure Function and Bioinformatics 2021-08-28

Abstract In previous CAPRI rounds (3–5) we showed that using MD‐generated ensembles, as inputs for a rigid‐body docking algorithm, increased our success rate, especially targets exhibiting substantial amounts of induced fit. recent (6–11), cross‐docking was followed by short MD‐based local refinement the subset solutions with lowest interaction energies after minimization. The above approach promising results target 20, where were able to recover 30% native contacts one submitted models....

10.1002/prot.21698 article EN Proteins Structure Function and Bioinformatics 2007-08-01

ABSTRACT Within the crowded, seemingly chaotic environment of cell, proteins are still able to find their binding partners. This is achieved via an ensemble trajectories, which funnel them towards functional sites, funnel. Here, we characterize funnel‐like energy structures on global landscape using time‐homogeneous finite state Markov chain models. These models based idea that transitions can occur between structurally similar docking solutions, with transition probabilities determined by...

10.1002/prot.24369 article EN Proteins Structure Function and Bioinformatics 2013-07-31

10.1007/978-1-4939-7759-8_27 article EN Methods in molecular biology 2018-01-01

ABSTRACT Reliable identification of near‐native poses docked protein–protein complexes is still an unsolved problem. The intrinsic heterogeneity interactions challenging for traditional biophysical or knowledge based potentials and the many false positive binding sites not unusual. Often, ranking protocols are on initial clustering followed by application energy function to rank each cluster according its lowest member. Here, we present approach only one molecular descriptor (e.g., function)...

10.1002/prot.25218 article EN cc-by Proteins Structure Function and Bioinformatics 2016-12-09

Cancers, such as squamous cell carcinoma, frequently invade multicellular units. However, these invading units can be organised in a variety of ways, ranging from thin discontinuous strands to thick 'pushing' collectives. Here we employ an integrated experimental and computational approach identify the factors that determine mode collective cancer invasion. We find matrix proteolysis is linked formation wide but has little effect on maximum extent Cell-cell junctions also favour strands, our...

10.7554/elife.76520 article EN cc-by eLife 2023-03-06

Abstract The formation of specific protein‐protein interactions is often a key to protein's function. During complex formation, each protein component will undergo change in the conformational state, for some these changes are relatively small and reside primarily at sidechain level; however, others may display notable backbone adjustments. One classic problems protein‐docking field be able priori predict extent such changes. In this work, we investigated three protocols find most suitable...

10.1002/prot.25851 article EN cc-by Proteins Structure Function and Bioinformatics 2019-11-07

P110α is a member of the phosphoinositide 3-kinase (PI3K) enzyme family that functions downstream RAS. RAS proteins contribute to activation p110α by interacting directly with its binding domain (RBD), resulting in promotion many cellular such as cell growth, proliferation and survival. Previous work from our lab has highlighted importance p110α/RAS interaction tumour initiation growth. Here we report discovery characterisation cyclic peptide inhibitor (cyclo-CRVLIR) interacts p110α-RBD...

10.1038/s41598-023-28756-0 article EN cc-by Scientific Reports 2023-02-02

This paper describes the use of a mixture abduction and induction for temporal modeling effects toxins in metabolic networks. Background knowledge is used which network topology functional classes enzymes. background knowledge, represents present state understanding, incomplete. In order to overcome this incompleteness hypotheses are considered consist specific inhibitions enzymes (ground facts) together with general (non-ground) rules predict likely be inhibited by toxin. The foreground...

10.1109/icmla.2005.6 article EN 2006-03-22

We present optimisations applied to a bespoke bio-physical molecular dynamics simulation designed investigate chromosome condensation. Our primary focus is on domain-specific algorithmic improvements determining short-range interaction forces between particles, as certain qualities of the render traditional methods less effective. implement tuned versions code for both CPU architectures and modern many-core architecture found in Intel Xeon Phi coprocessor compare their effectiveness. achieve...

10.1109/sbac-pad.2016.24 article EN 2016-10-01
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