生化英文课件-蛋白质的结构和功能 The_Structure_and_Function_of_Protein 热度: 蛋白结构预测Protein Structure Prediction Using Rosetta 热度: 4 ProteinStructurePredictionUsingThreading JinboXu,FengJiao,andLiboYu Summary Thischapterdiscussestheprotocolforcomputationalproteinstructurepredictionbyprotein ...
Significant progress has been made in protein structure prediction in recent years. However, it remains challenging for AlphaFold2 and other deep learning-based methods to predict protein structure with single-sequence input. Here we introduce trRosettaX-Single, an automated algorithm for single-sequence...
Protein structure predictions Associated content Protein structure prediction beyond AlphaFold Guo-Wei Wei Nature Machine IntelligenceNews & Views09 Aug 2019 Nature Machine Intelligence (Nat Mach Intell)ISSN2522-5839(online) Sign up for theNature Briefingnewsletter — what matters in science, free to yo...
Protein structure prediction pipelines based on artificial intelligence, such as AlphaFold2, have achieved near-experimental accuracy. These advanced pipelines mainly rely on multiple sequence alignments (MSAs) as inputs to learn the co-evolution information from the homologous sequences. Nonetheless, sear...
Protein structure prediction on the Web - a case study using the Phyre server 热度: a reliable method for colorectal cancer prediction based on feature selection and support vector machine.[2018][med biol eng comput][10.1007_s11517 热度: ...
内容提示: 706 | Nature | Vol 577 | 30 January 2020ArticleImproved protein structure prediction using potentials from deep learningAndrew W. Senior 1,4 *, Richard Evans 1,4 , John Jumper 1,4 , James Kirkpatrick 1,4 , Laurent Sifre 1,4 , Tim Green 1 , Chongli Qin 1 , Augustin ...
prediction of molecular interactions: from small ligands to large protein complexes macromolecular docking integrating prediction of structure, function, and interactions Prediction of Protein Structures, Functions and Interactions focuses on the methods that have performed well in CASPs, and which are ...
Empirical limits for template-based protein structure prediction: the CASP5 example FEBS Lett., 579 (2005), pp. 1203-1207 View PDFView articleCrossrefView in ScopusGoogle Scholar Dawson et al., 2017 N.L. Dawson, T.E. Lewis, S. Das, J.G. Lees, D. Lee, P. Ashford, C.A. Orengo,...
In function prediction, the sequence and/or the structure is known and the functionality is needed as output of a neural net. In structure prediction, sequence is known input and structure is unknown output. Protein design starts from desired functionality, or a step further, structure that can...
[5]: Jian Zhou and Olga G. Troyanskaya (2014) - "Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction" -https://arxiv.org/pdf/1403.1347.pdf [6]: Sheng Wang et al. (2016) - "Protein Secondary Structure Prediction Using Deep Convolutional Ne...