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Prediction of homoprotein and heteroprotein complexes by protein docking and template-based modeling: A CASP-CAPRI experiment.

Marc F LensinkSameer VelankarAndriy KryshtafovychShen-You HuangDina Schneidman-DuhovnyAndrej SaliJoan SeguraNarcis Fernandez-FuentesShruthi ViswanathRon ElberSergei GrudininPetr PopovEmilie NeveuHasup LeeMinkyung BaekSangwoo ParkLim HeoGyu Rie LeeChaok SeokSanbo QinHuan-Xiang ZhouDavid W RitchieBernard MaigretMarie-Dominique DevignesAnisah GhoorahMieczyslaw TorchalaRaphaël A G ChaleilPaul A BatesEfrat Ben-ZeevMiriam EisensteinSurendra S NegiZhiping WengThom VrevenBrian G PierceTyler M BorrmanJinchao YuFrançoise OchsenbeinRaphaël GueroisAnna VangoneJoão P G L M RodriguesGydo van ZundertMehdi NellenLi XueEzgi KaracaAdrien S J MelquiondKoen VisscherPanagiotis L KastritisAlexandre M J J BonvinXianjin XuLiming QiuChengfei YanJilong LiZhiwei MaJianlin ChengXiaoqin ZouYang ShenLenna X PetersonHyung-Rae KimAmit RoyXusi HanJuan Esquivel-RodriguezDaisuke KiharaXiaofeng YuNeil J BruceJonathan C FullerRebecca C WadeIvan AnishchenkoPetras J KundrotasIlya A VakserKenichiro ImaiKazunori YamadaToshiyuki OdaTsukasa NakamuraKentaro TomiiChiara PallaraMiguel Romero-DuranaBrian Jiménez-GarcíaIain H MoalJuan Férnandez-RecioJong Young JoungJong Yun KimKeehyoung JooJooyoung LeeDima KozakovSandor VajdaScott MottarellaDavid R HallDmitri BeglovArtem MamonovBing XiaTanggis BohnuudCarlos A Del CarpioEichiro IchiishiNicholas MarzeDaisuke KurodaShourya S Roy BurmanJeffrey J GrayEdrisse ChermakLuigi CavalloRomina OlivaAndrey TovchigrechkoShoshana J Wodak
Published in: Proteins (2016)
We present the results for CAPRI Round 30, the first joint CASP-CAPRI experiment, which brought together experts from the protein structure prediction and protein-protein docking communities. The Round comprised 25 targets from amongst those submitted for the CASP11 prediction experiment of 2014. The targets included mostly homodimers, a few homotetramers, and two heterodimers, and comprised protein chains that could readily be modeled using templates from the Protein Data Bank. On average 24 CAPRI groups and 7 CASP groups submitted docking predictions for each target, and 12 CAPRI groups per target participated in the CAPRI scoring experiment. In total more than 9500 models were assessed against the 3D structures of the corresponding target complexes. Results show that the prediction of homodimer assemblies by homology modeling techniques and docking calculations is quite successful for targets featuring large enough subunit interfaces to represent stable associations. Targets with ambiguous or inaccurate oligomeric state assignments, often featuring crystal contact-sized interfaces, represented a confounding factor. For those, a much poorer prediction performance was achieved, while nonetheless often providing helpful clues on the correct oligomeric state of the protein. The prediction performance was very poor for genuine tetrameric targets, where the inaccuracy of the homology-built subunit models and the smaller pair-wise interfaces severely limited the ability to derive the correct assembly mode. Our analysis also shows that docking procedures tend to perform better than standard homology modeling techniques and that highly accurate models of the protein components are not always required to identify their association modes with acceptable accuracy. Proteins 2016; 84(Suppl 1):323-348. © 2016 Wiley Periodicals, Inc.
Keyphrases
  • protein protein
  • small molecule
  • molecular dynamics
  • molecular dynamics simulations
  • amino acid
  • machine learning
  • high resolution
  • binding protein
  • deep learning
  • electronic health record
  • mass spectrometry