Showing results (81-90 of 274) with videos related to
Sort By:
Pageof 28
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.Bioinformatics (Oxford, England)|November 17, 2007
TMBpro: secondary structure, beta-contact and tertiary structure prediction of transmembrane beta-barrel proteinsArlo Randall, Jianlin Cheng, Michael Sweredoski, et al.Artificial Intelligence in Medicine|June 29, 2004
Structural proteomics of the poxvirus familyArlo Z Randall, Pierre Baldi, Luis P VillarrealBody Image|March 1, 2022
Examining the utility of nonlinear machine learning approaches versus linear regression for predicting body image outcomes: The U.S. Body Project IDehua Liang, David A Frederick, Elia E Lledo, et al.Brain Sciences|September 16, 2020
Developing Employment Environments Where Individuals with ASD Thrive: Using Machine Learning to Explore Employer Policies and PracticesAmy Jane Griffiths, Amy Hurley Hanson, Cristina M Giannantonio, et al.Neural 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.Pageof 28