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STRUCTURAL BIOLOGY AND RADIOBIOLOGY LAB I2BC - CEA Saclay PROTEIN - PowerPoint PPT Presentation

EXPLORING STRUCTURAL INTERACTOMES IN THE LIGHT OF EVOLUTION Jessica ANDREANI Raphal GUEROIS Molecular Assemblies and Genome Integrity team STRUCTURAL BIOLOGY AND RADIOBIOLOGY LAB I2BC - CEA Saclay PROTEIN INTERACTIONS AT THE HEART OF MOST


  1. EXPLORING STRUCTURAL INTERACTOMES IN THE LIGHT OF EVOLUTION Jessica ANDREANI Raphaël GUEROIS Molecular Assemblies and Genome Integrity team STRUCTURAL BIOLOGY AND RADIOBIOLOGY LAB I2BC - CEA Saclay

  2. PROTEIN INTERACTIONS AT THE HEART OF MOST CELLULAR PROCESSES • The activation/inhibition of cellular pathways rely on synergies and competitions at the binding surfaces of macromolecules • An atomic/residue scale analysis  Steric hindrance or co-association between partners  Specific design of disruptive and compensatory mutants  Design of PPI modulators

  3. FINDING A CORRECT INTERFACE IN THE HAYSTACK OF POSSIBLE ASSEMBLIES Protein A  ?  Protein B PRINCIPLES OF MOLECULAR DOCKING > 10 4 decoys STEP 1: Low resolution step. Coarse-grained rigid body docking Filters EVOLUTIONARY CONSTRAINTS ?? STEP 2: refinement step. ~ 10 clusters Flexibility, atomic details 1 most likely model

  4. C ONSERVATION OF B INDING M ODES DURING THE COURSE OF E VOLUTION Threshold for interface conservation ~ 30% seq. id (Aloy et al JMB 2003)

  5. I S THE E VOLUTIONARY T RACE OF I NTERACTING P ARTNERS U SEFUL TO P REDICT H OW T HEY B IND ? Substitutions in the alignment  Protein B Protein A  Deleterious mutation  Tolerable/Favorable mutation Good model Protein A Protein B ? Bad model

  6. P RINCIPLES IN I NTERFACE C O E VOLUTION : S TATISTICAL A NALYSES  Q UANTIFICATION OF I NTERFACE P LASTICITY Interface contact chain B chain A Res_k Res_i Database of interfaces with structural & evolutionary information ~18,000 non-redundant interfaces Res_i ’ Res_k ’ among which chain A’ chain B’ ~1,000 pairs of interologs Interface contact? Faure, Andreani & Guerois Nucleic Acids Res. (2012) http://biodev.cea.fr/interevol B B’ A’ A Andreani, Faure & Guerois DECEMBER 11, 2017 DECEMBER 11, 2017 PLoS Comp Biol (2012)

  7. P RINCIPLES IN I NTERFACE C O E VOLUTION : S TATISTICAL A NALYSES  F EATURE E XTRACTION  D OCKING SCORE InterEvScore : Discriminate co-evolved interfaces Apolar Database of Multi-body patches statistical potential interfaces with structural & evolutionary information B A Evolutionary information ≥ 10 sequences Andreani, Faure & Guerois PLoS Comp Biol (2012) Bioinformatics (2013) DECEMBER 11, 2017 DECEMBER 11, 2017

  8. Development of InterEvScore, a docking score taking evolution into account Contact propensities Inter-molecular interface contacts derived from InterEvol (every pair or triplet) (statistics on 1,289 interfaces) 0.53 A B 0.04 -0.05 -0.26 -0.11 Find the most favorable environment for each residue… Residue

  9. Development of InterEvScore, a docking score taking evolution into account Contact propensities derived from InterEvol Inter-molecular interface contacts (statistics on 1,289 interfaces) j i 0.53 A B 0.04 -0.05 -0.26 -0.11 Find the most favorable …and take evolution into account environment for each residue… Residue Alignment for A Alignment for B j i H. sapiens 0.53 M. musculus + 0.53 D. rerio + 0.53 + 0.03 … + -0.20 ≥ 10 sequences S. cerevisiae + 0.53 1.95

  10. I NTER E V D OCK SERVER TO ACCOUNT FOR C O - EVOLUTION I NFORMATION IN D OCKING Structure A Structure B Co-Alignment A Co-Alignment B Returns 10 models (~1h) selected from a consensus among the top solutions of : • InterEvScore (residue based / coevolution), • SOAP-PP (statistical atomic based) ( A. Sali’s lab ), • FRODOCK (rigid-body + physics based) ( P. Chacon’s lab ) Yu et al, Nucleic Acids Research (2016) Running at RPBS server (coll. P. Tufféry) http://bioserv.rpbs.univ-paris-diderot.fr/services/InterEvDock/

  11. I NTER E V D OCK : A S ERVER FOR P ROTEIN R IGID -B ODY D OCKING AND S CORING USING E VOLUTION Performance for 43 rigid-body docking cases from the Weng database for which evolutionary information can be gathered 60 Top10 50 success Structure A rate 40 (%) Structure B 30 Co-Alignment A 20 Co-Alignment B 10 0 InterEvScore FRODOCK InterEvDock SOAP-PP ZDOCK 3.0.2 (v1) consensus 100 % 0 % Average % of interface implication Yu et al, NAR 2016 among Top10 models

  12. P REDICTOR GROUP PERFORMANCE BASED ON THE THREE MOST RECENT CAPRI EVALUATION MEETINGS . Kozakov D et al (2017) Nat. Protocols

  13. H OW TO GET A H IGHER N UMBER OF T ARGETS ? PPI4DOCK : A B ENCHMARK FOR L ARGE S CALE D OCKING A SSESSMENT B ASED ON C OMPARATIVE M ODELS Search for unbound B’ A’ templates Bound A Bound B Reference complex MODELS of A MODELS of B Based on A’ Based on B’ = Unbound A = Unbound B PPI4DOCK contains 1417 docking targets http://biodev.cea.fr/interevol/ppi4dock/ • Ensure MODELS represent unbiased unbound state. • 822 docking targets can be used with coevolution information • Success rate by Rigid-Body docking methods with these MODELS ? Yu & Guerois, Bioinformatics (2017)

  14. Acknowledgements Seydou Arun Chloé Raphaël Françoise Gwenaelle Laure Traoré Nadaradjane Quignot Guerois Ochsenbein Moal Plancon-Arnould May Danni Fouad Nadège Jinchao Bakail Liu Ouasti Guinot Yu I. Jacques Monod Structural Biology and U. Paris 7 I2BC Alessandro Berto Radiobiology Lab Julien Rey Arnaud Martel Valérie Doye Pierre Tufféry

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