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Julie C Mitchell

Showing results (21-30 of 47) with videos related to

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Frontiers in Molecular Biosciences|September 3, 2019
Using Small-Angle Scattering Data and Parametric Machine Learning to Optimize Force Field Parameters for Intrinsically Disordered ProteinsOmar Demerdash, Utsab R Shrestha, Loukas Petridis, et al.
Biochimica Et Biophysica Acta. General Subjects|January 20, 2020
Prediction of peptide binding to MHC using machine learning with sequence and structure-based feature setsMichelle P Aranha, Catherine Spooner, Omar Demerdash, et al.
Bioinformatics (Oxford, England)|May 5, 2022
OpenMDlr: parallel, open-source tools for general protein structure modeling and refinement from pairwise distancesRussell B Davidson, Jess Woods, T Chad Effler, et al.
Journal of Chemical Information and Modeling|July 22, 2022
Identification of Small-Molecule Inhibitors of Fibroblast Growth Factor 23 Signaling via In Silico Hot Spot Prediction and Molecular Docking to α-KlothoShih-Hsien Liu, Zhousheng Xiao, Sambit K Mishra, et al.
Proteins|June 5, 2003
Finding needles in haystacks: Reranking DOT results by using shape complementarity, cluster analysis, and biological informationDennis S Law, Lynn F Ten Eyck, Omer Katzenelson, et al.
Journal of Proteome Research|December 15, 2004
Charge and hydrophobicity patterning along the sequence predicts the folding mechanism and aggregation of proteins: a computational approachJoseph P Zbilut, Alessandro Giuliani, Alfredo Colosimo, et al.
Nucleic Acids Research|June 10, 2010
chipD: a web tool to design oligonucleotide probes for high-density tiling arraysYann S Dufour, Gary E Wesenberg, Andrew J Tritt, et al.
Plos One|August 27, 2013
Snowflake vitreoretinal degeneration (SVD) mutation R162W provides new insights into Kir7.1 ion channel structure and functionBikash R Pattnaik, Sara Tokarz, Matti P Asuma, et al.
Journal of Immunology (Baltimore, Md. : 1950)|September 4, 2020
Combining Three-Dimensional Modeling with Artificial Intelligence to Increase Specificity and Precision in Peptide-MHC Binding PredictionsMichelle P Aranha, Yead S M Jewel, Robert A Beckman, et al.
Biophysical Journal|February 1, 2024
Generative β-hairpin design using a residue-based physicochemical property landscapeVardhan Satalkar, Gemechis D Degaga, Wei Li, et al.
Pageof 5

Showing results (21-30 of 47) with videos related to

Sort By:
Pageof 5
Frontiers in Molecular Biosciences|September 3, 2019
Using Small-Angle Scattering Data and Parametric Machine Learning to Optimize Force Field Parameters for Intrinsically Disordered ProteinsOmar Demerdash, Utsab R Shrestha, Loukas Petridis, et al.
Biochimica Et Biophysica Acta. General Subjects|January 20, 2020
Prediction of peptide binding to MHC using machine learning with sequence and structure-based feature setsMichelle P Aranha, Catherine Spooner, Omar Demerdash, et al.
Bioinformatics (Oxford, England)|May 5, 2022
OpenMDlr: parallel, open-source tools for general protein structure modeling and refinement from pairwise distancesRussell B Davidson, Jess Woods, T Chad Effler, et al.
Journal of Chemical Information and Modeling|July 22, 2022
Identification of Small-Molecule Inhibitors of Fibroblast Growth Factor 23 Signaling via In Silico Hot Spot Prediction and Molecular Docking to α-KlothoShih-Hsien Liu, Zhousheng Xiao, Sambit K Mishra, et al.
Proteins|June 5, 2003
Finding needles in haystacks: Reranking DOT results by using shape complementarity, cluster analysis, and biological informationDennis S Law, Lynn F Ten Eyck, Omer Katzenelson, et al.
Journal of Proteome Research|December 15, 2004
Charge and hydrophobicity patterning along the sequence predicts the folding mechanism and aggregation of proteins: a computational approachJoseph P Zbilut, Alessandro Giuliani, Alfredo Colosimo, et al.
Nucleic Acids Research|June 10, 2010
chipD: a web tool to design oligonucleotide probes for high-density tiling arraysYann S Dufour, Gary E Wesenberg, Andrew J Tritt, et al.
Plos One|August 27, 2013
Snowflake vitreoretinal degeneration (SVD) mutation R162W provides new insights into Kir7.1 ion channel structure and functionBikash R Pattnaik, Sara Tokarz, Matti P Asuma, et al.
Journal of Immunology (Baltimore, Md. : 1950)|September 4, 2020
Combining Three-Dimensional Modeling with Artificial Intelligence to Increase Specificity and Precision in Peptide-MHC Binding PredictionsMichelle P Aranha, Yead S M Jewel, Robert A Beckman, et al.
Biophysical Journal|February 1, 2024
Generative β-hairpin design using a residue-based physicochemical property landscapeVardhan Satalkar, Gemechis D Degaga, Wei Li, et al.
Pageof 5