Learned Embeddings from Deep Learning to Visualize and Predict Protein Sets
作者： Burkhard Rost , Sungroh Yoon , Seonwoo Min , Kevin K. Yang , Christian Dallago
DOI: 10.1002/CPZ1.113
关键词:
摘要: Abstract Models from machine learning (ML) or artificial intelligence (AI) increasingly assist in guiding experimental design and decision making in molecular biology and medicine …
sci-hub.st 参考文章(36)
Burkhard Rost, PHD: predicting one-dimensional protein structure by profile-based neural networks. Methods in Enzymology. ,vol. 266, pp. 525- 539 ,(1996) , 10.1016/S0076-6879(96)66033-9
Christopher D. Manning, Part-of-speech tagging from 97% to 100%: is it time for some linguistics? international conference on computational linguistics. pp. 171- 189 ,(2011) , 10.1007/978-3-642-19400-9_14
Burkhard Rost, Chris Sander, Prediction of Protein Secondary Structure at Better than 70% Accuracy Journal of Molecular Biology. ,vol. 232, pp. 584- 599 ,(1993) , 10.1006/JMBI.1993.1413
Burkhard Rost, Chris Sander, Progress of 1D protein structure prediction at last Proteins: Structure, Function, and Genetics. ,vol. 23, pp. 295- 300 ,(1995) , 10.1002/PROT.340230304
F. Morcos, A. Pagnani, B. Lunt, A. Bertolino, D. S. Marks, C. Sander, R. Zecchina, J. N. Onuchic, T. Hwa, M. Weigt, Direct-coupling analysis of residue coevolution captures native contacts across many protein families Proceedings of the National Academy of Sciences of the United States of America. ,vol. 108, pp. 19459- 19460 ,(2011) , 10.1073/PNAS.1111471108
Burkhard Rost, Chris Sander, Combining evolutionary information and neural networks to predict protein secondary structure. Proteins. ,vol. 19, pp. 55- 72 ,(1994) , 10.1002/PROT.340190108
John Moult, Jan T Pedersen, Richard Judson, Krzysztof Fidelis, None, A large-scale experiment to assess protein structure prediction methods Proteins: Structure, Function, and Genetics. ,vol. 23, pp. ii- iv ,(1995) , 10.1002/PROT.340230303
Thomas A. Hopf, Lucy J. Colwell, Robert Sheridan, Burkhard Rost, Chris Sander, Debora S. Marks, Three-dimensional structures of membrane proteins from genomic sequencing. Cell. ,vol. 149, pp. 1607- 1621 ,(2012) , 10.1016/J.CELL.2012.04.012
Gary D. Stormo, Thomas D. Schneider, Larry Gold, Andrzej Ehrenfeucht, Use of the ‘Perceptron’ algorithm to distinguish translational initiation sites in E. coli Nucleic Acids Research. ,vol. 10, pp. 2997- 3011 ,(1982) , 10.1093/NAR/10.9.2997
Burkhard Rost, Review: protein secondary structure prediction continues to rise. Journal of Structural Biology. ,vol. 134, pp. 204- 218 ,(2001) , 10.1006/JSBI.2001.4336