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Bioinformatics (Oxford, England)|June 5, 2026
A unified multimodal model for generalizable zero-shot and supervised protein function predictionFrimpong Boadu, Yanli Wang, Jianlin ChengNeural Networks : the Official Journal of the International Neural Network Society|September 15, 2005
Graph kernels for chemical informaticsLiva Ralaivola, Sanjay J Swamidass, Hiroto Saigo, et al.Journal of Chemical Information and Modeling|January 12, 2022
Quantum Mechanics and Machine Learning Synergies: Graph Attention Neural Networks to Predict Chemical ReactivityMohammadamin Tavakoli, Aaron Mood, David Van Vranken, et al.Journal of Chemical Information and Modeling|March 23, 2011
Data-driven high-throughput prediction of the 3-D structure of small molecules: review and progressAlessio Andronico, Arlo Randall, Ryan W Benz, et al.Proceedings of the National Academy of Sciences of the United States of America|January 19, 2010
Computational and single-molecule force studies of a macro domain protein reveal a key molecular determinant for mechanical stabilityDora L Guzmán, Arlo Randall, Pierre Baldi, et al.Bioinformatics (Oxford, England)|January 7, 2016
VIRALpro: a tool to identify viral capsid and tail sequencesClovis Galiez, Christophe N Magnan, Francois Coste, et al.IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 20, 2006
Functional census of mutation sequence spaces: the example of p53 cancer rescue mutantsSamuel A Danziger, S Joshua Swamidass, Jue Zeng, et al.BMC Genomics|April 17, 2008
Protein disorder prediction at multiple levels of sensitivity and specificityJoshua Hecker, Jack Y Yang, Jianlin ChengProteins|November 13, 2008
Evaluating the absolute quality of a single protein model using structural features and support vector machinesZheng Wang, Allison N Tegge, Jianlin ChengCurrent Opinion in Structural Biology|February 11, 2023
Deep learning for reconstructing protein structures from cryo-EM density maps: Recent advances and future directionsNabin Giri, Raj S Roy, Jianlin ChengPageof 54