Critical assessment of methods of protein structure prediction (CASP)-Round XII.
Critical assessment of methods of protein structure prediction (CASP)-Round XII.
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DOI：
10.1002/prot.25415
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发表时间：
2018-03
期刊：
影响因子：
2.9
通讯作者：
Tramontano A
中科院分区：
文献类型：
--
作者：
Moult J;Fidelis K;Kryshtafovych A;Schwede T;Tramontano A
本文报告了2016年举行的第12轮结构预测临界评估（CASP12）的结果。CASP是一个社区实验，以确定从氨基酸序列建模蛋白质结构的最新技术水平。参与者被提供序列信息，反过来又提供蛋白质结构模型和相关信息。独立评估员对提交的结构进行分析，全面了解当前方法的能力，并确定进展情况。这又是一轮令人兴奋的CASP，在四个领域取得了重大进展：（i）使用新方法预测三维接触，使接触精度提高了两倍。(ii)因此，在没有模板的情况下，蛋白质的模型准确性显著提高。(iii)基于结构模板的模型显示出准确性的整体提高。(iv)估计模型准确性的方法继续改进。CASP继续开发新的领域：（i）评估四级结构模型的构建方法，包括扩大CASP与CAPRI之间的合作。(ii)借助实验数据的建模扩展到包括SAXS数据，以及再次使用化学交联信息。(iii)一组评估员评估了模型在一系列应用中的适用性，包括突变解释、配体结合特性分析和界面识别。本文描述了实验并总结了结果。蛋白质的这个特殊问题的其余部分包含更详细地描述CASP12结果和评估的论文。
This paper reports the outcome of the 12th round of Critical Assessment of Structure Prediction (CASP12), held in 2016. CASP is a community experiment to determine the state of the art in modeling protein structure from amino acid sequence. Participants are provided sequence information and in turn provide protein structure models and related information. Analysis of the submitted structures by independent assessors provides a comprehensive picture of the capabilities of current methods, and allows progress to be identified. This was again an exciting round of CASP, with significant advances in four areas: (i) The use of new methods for predicting three dimensional contacts led to a two-fold improvement in contact accuracy. (ii) As a consequence, model accuracy for proteins where no template was available improved dramatically. (iii) Models based on a structural template showed overall improvement in accuracy. (iv) Methods for estimating the accuracy of a model continued to improve. CASP continued to develop new areas: (i) Assessing methods for building quaternary structure models, including an expansion of the collaboration between CASP and CAPRI. (ii) Modeling with the aid of experimental data was extended to include SAXS data, as well as again using chemical crosslinking information. (iii) A team of assessors evaluated the suitability of models for a range of applications, including mutation interpretation, analysis of ligand binding properties, and identification of interfaces. This paper describes the experiment and summarizes the results. The rest of this special issue of PROTEINS contains papers describing CASP12 results and assessments in more detail.
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影响因子：
2.9
作者：
Lensink, Marc F.;Velankar, Sameer;Kryshtafovych, Andriy;Huang, Shen-You;Schneidman-Duhovny, Dina;Sali, Andrej;Segura, Joan;Fernandez-Fuentes, Narcis;Viswanath, Shruthi;Elber, Ron;Grudinin, Sergei;Popov, Petr;Neveu, Emilie;Lee, Hasup;Baek, Minkyung;Park, Sangwoo;Heo, Lim;Lee, Gyu Rie;Seok, Chaok;Qin, Sanbo;Zhou, Huan-Xiang;Ritchie, David W.;Maigret, Bernard;Devignes, Marie-Dominique;Ghoorah, Anisah;Torchala, Mieczyslaw;Chaleil, Raphael A. G.;Bates, Paul A.;Ben-Zeev, Efrat;Eisenstein, Miriam;Negi, Surendra S.;Weng, Zhiping;Vreven, Thom;Pierce, Brian G.;Borrman, Tyler M.;Yu, Jinchao;Ochsenbein, Francoise;Guerois, Raphael;Vangone, Anna;Rodrigues, Joao P. G. L. M.;van Zundert, Gydo;Nellen, Mehdi;Xue, Li;Karaca, Ezgi;Melquiond, Adrien S. J.;Visscher, Koen;Kastritis, Panagiotis L.;Bonvin, Alexandre M. J. J.;Xu, Xianjin;Qiu, Liming;Yan, Chengfei;Li, Jilong;Ma, Zhiwei;Cheng, Jianlin;Zou, Xiaoqin;Shen, Yang;Peterson, Lenna X.;Kim, Hyung-Rae;Roy, Amit;Han, Xusi;Esquivel-Rodriguez, Juan;Kihara, Daisuke;Yu, Xiaofeng;Bruce, Neil J.;Fuller, Jonathan C.;Wade, Rebecca C.;Anishchenko, Ivan;Kundrotas, Petras J.;Vakser, Ilya A.;Imai, Kenichiro;Yamada, Kazunori;Oda, Toshiyuki;Nakamura, Tsukasa;Tomii, Kentaro;Pallara, Chiara;Romero-Durana, Miguel;Jimenez-Garcia, Brian;Moal, Iain H.;Fernandez-Recio, Juan;Joung, Jong Young;Kim, Jong Yun;Joo, Keehyoung;Lee, Jooyoung;Kozakov, Dima;Vajda, Sandor;Mottarella, Scott;Hall, David R.;Beglov, Dmitri;Mamonov, Artem;Xia, Bing;Bohnuud, Tanggis;Del Carpio, Carlos A.;Ichiishi, Eichiro;Marze, Nicholas;Kuroda, Daisuke;Burman, Shourya S. Roy;Gray, Jeffrey J.;Chermak, Edrisse;Cavallo, Luigi;Oliva, Romina;Tovchigrechko, Andrey;Wodak, Shoshana J.
通讯作者：
Wodak, Shoshana J.
影响因子：
2.9
作者：
Kryshtafovych, Andriy;Fidelis, Krzysztof;Tramontano, Anna
通讯作者：
Tramontano, Anna
影响因子：
2.9
作者：
Cozzetto, Domenico;Kryshtafovych, Andriy;Tramontano, Anna
通讯作者：
Tramontano, Anna
影响因子：
2.9
作者：
MacCallum, Justin L.;Hua, Lan;Dill, Ken A.
通讯作者：
Dill, Ken A.
影响因子：
4.3
作者：
Brender JR;Zhang Y
通讯作者：
Zhang Y