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Journal of Chemical Information and Modeling|October 18, 2016
Synergies Between Quantum Mechanics and Machine Learning in Reaction PredictionPeter Sadowski, David Fooshee, Niranjan Subrahmanya, et al.Bioinformatics (Oxford, England)|May 19, 2009
Data structures and compression algorithms for genomic sequence dataMarty C Brandon, Douglas C Wallace, Pierre BaldiGenome Research|April 16, 2003
LineUp: statistical detection of chromosomal homology with application to plant comparative genomicsSteve Hampson, Aoife McLysaght, Brandon Gaut, et al.Journal of Chemical Information and Modeling|April 3, 2012
Speeding up chemical searches using the inverted index: the convergence of chemoinformatics and text search methodsRamzi Nasr, Rares Vernica, Chen Li, et al.Proteins|April 5, 2002
Prediction of coordination number and relative solvent accessibility in proteinsGianluca Pollastri, Pierre Baldi, Pietro Fariselli, et al.Proteins|April 5, 2002
Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profilesGianluca Pollastri, Darisz Przybylski, Burkhard Rost, et al.Neural Networks : the Official Journal of the International Neural Network Society|April 8, 2020
Learning in the machine: To share or not to share?Jordan Ott, Erik Linstead, Nicholas LaHaye, et al.Artificial Intelligence in Medicine|June 29, 2004
Structural proteomics of the poxvirus familyArlo Z Randall, Pierre Baldi, Luis P VillarrealBMC Bioinformatics|October 24, 2015
A large-scale conformation sampling and evaluation server for protein tertiary structure prediction and its assessment in CASP11Jilong Li, Renzhi Cao, Jianlin ChengCommunications Biology|November 17, 2025
Boosting AlphaFold protein tertiary structure prediction through MSA engineering and extensive model sampling and ranking in CASP16Jian Liu, Pawan Neupane, Jianlin ChengPageof 56