Rezultati - R. Dustin Schaeffer
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Protein folds and protein folding od R. Dustin Schaeffer, Valerie Daggett
Izdano 2010Revisão -
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CASP16 protein monomer structure prediction assessment od Rongqing Yuan, Jing Zhang, Andriy Kryshtafovych, R. Dustin Schaeffer, Jian Zhou, Qian Cong, Nick V. Grishin
Izdano 2025Pré-impressão -
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Dynameomics: mass annotation of protein dynamics and unfolding in water by high-throughput atomistic molecular dynamics simulations od David A. C. Beck, Amanda L. Jonsson, R. Dustin Schaeffer, Kathryn A. Scott, Ryan Day, Rudesh D. Toofanny, Darwin O. V. Alonso, Valerie Daggett
Izdano 2008Artigo -
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Dynameomics: A Comprehensive Database of Protein Dynamics od Marc W. van der Kamp, R. Dustin Schaeffer, Amanda L. Jonsson, Alexander D. Scouras, Andrew M. Simms, Rudesh D. Toofanny, Noah C. Benson, Peter C. Anderson, Eric Merkley, Steven J. Rysavy, Dennis Bromley, David A. C. Beck, Valerie Daggett
Izdano 2010Artigo -
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The Pfam protein families database: embracing AI/ML od Typhaine Paysan-Lafosse, Antonina Andreeva, Matthias Blum, Sara Chuguransky, Tiago Grego, Beatriz Lázaro, Gustavo A Salazar, Maxwell L. Bileschi, Felipe Llinares-López, Laetitia Meng-Papaxanthos, Lucy J. Colwell, Nick V. Grishin, R. Dustin Schaeffer, Damiano Clementel, Silvio C. E. Tosatto, Erik L. L. Sonnhammer, Valerie Wood, Alex Bateman
Izdano 2024Artigo -
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Accurate prediction of protein structures and interactions using a 3-track network od Minkyung Baek, Frank DiMaio, Ivan Anishchenko, Justas Dauparas, Sergey Ovchinnikov, Gyu Rie Lee, Jue Wang, Qian Cong, Lisa N. Kinch, R. Dustin Schaeffer, Claudia Millán, Hahnbeom Park, Carson Adams, Caleb R. Glassman, Andy DeGiovanni, J.H. Pereira, Andria V. Rodrigues, Alberdina A. van Dijk, Ana C. Ebrecht, Diederik J. Opperman, Theo Sagmeister, Christoph Buhlheller, Tea Pavkov‐Keller, Manoj Kumar Rathinaswamy, Udit Dalwadi, Calvin K. Yip, John E. Burke, K. Christopher García, Nick V. Grishin, Paul D. Adams, Randy J. Read, David Baker
Izdano 2021Pré-impressão -
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Accurate prediction of protein structures and interactions using a three-track neural network od Minkyung Baek, Frank DiMaio, Ivan Anishchenko, Justas Dauparas, Sergey Ovchinnikov, Gyu Rie Lee, Jue Wang, Qian Cong, Lisa N. Kinch, R. Dustin Schaeffer, Claudia Millán, Hahnbeom Park, Carson Adams, Caleb R. Glassman, Andy DeGiovanni, J.H. Pereira, Andria V. Rodrigues, Alberdina A. van Dijk, Ana C. Ebrecht, Diederik J. Opperman, Theo Sagmeister, Christoph Buhlheller, Tea Pavkov‐Keller, Manoj Kumar Rathinaswamy, Udit Dalwadi, Calvin K. Yip, John E. Burke, K. Christopher García, Nick V. Grishin, Paul D. Adams, Randy J. Read, David Baker
Izdano 2021Artigo
Iskalna orodja:
Sorodne teme
Biology
Computer science
Biochemistry
Computational biology
Protein structure
Gene
Genetics
Protein domain
Data mining
Enzyme
Homology modeling
Mathematics
Protein family
Protein structure prediction
Protein superfamily
Artificial intelligence
Bioinformatics
Chemistry
Domain (mathematical analysis)
Homology (biology)
Machine learning
Mathematical analysis
Programming language
Protein Data Bank
Protein Data Bank (RCSB PDB)
Protein folding
Proteome
Sequence (biology)
Structural Classification of Proteins database
CASP