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BMC Structural Biology
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December 6, 2008
SELECTpro: effective protein model selection using a structure-based energy function resistant to BLUNDERs
Arlo Randall, Pierre Baldi
Bioinformatics (Oxford, England)
|
February 28, 2014
Incorporating post-translational modifications and unnatural amino acids into high-throughput modeling of protein structures
Ken Nagata, Arlo Randall, Pierre Baldi
Proteins
|
November 11, 2011
SIDEpro: a novel machine learning approach for the fast and accurate prediction of side-chain conformations
Ken Nagata, Arlo Randall, Pierre Baldi
Proteins
|
December 24, 2005
Prediction of protein stability changes for single-site mutations using support vector machines
Jianlin Cheng, Arlo Randall, Pierre Baldi
Bioinformatics (Oxford, England)
|
June 25, 2009
SOLpro: accurate sequence-based prediction of protein solubility
Christophe N Magnan, Arlo Randall, Pierre Baldi
Bioinformatics (Oxford, England)
|
November 17, 2007
TMBpro: secondary structure, beta-contact and tertiary structure prediction of transmembrane beta-barrel proteins
Arlo Randall, Jianlin Cheng, Michael Sweredoski, 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 progress
Alessio 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 stability
Dora L Guzmán, Arlo Randall, Pierre Baldi, et al.
Biotechnology and Bioengineering
|
December 20, 2011
Rationally selected single-site mutants of the Thermoascus aurantiacus endoglucanase increase hydrolytic activity on cellulosic substrates
Sneha Srikrishnan, Arlo Randall, Pierre Baldi, et al.
Advanced Functional Materials
|
March 26, 2013
Biomimetic Design of Protein Nanomaterials for Hydrophobic Molecular Transport
Dongmei Ren, Mercè Dalmau, Arlo Randall, et al.
Page
of 4
Search research articles
Search
Showing results (1-10 of 38) with videos related to
Sort By:
Page
of 4
BMC Structural Biology
|
December 6, 2008
SELECTpro: effective protein model selection using a structure-based energy function resistant to BLUNDERs
Arlo Randall, Pierre Baldi
Bioinformatics (Oxford, England)
|
February 28, 2014
Incorporating post-translational modifications and unnatural amino acids into high-throughput modeling of protein structures
Ken Nagata, Arlo Randall, Pierre Baldi
Proteins
|
November 11, 2011
SIDEpro: a novel machine learning approach for the fast and accurate prediction of side-chain conformations
Ken Nagata, Arlo Randall, Pierre Baldi
Proteins
|
December 24, 2005
Prediction of protein stability changes for single-site mutations using support vector machines
Jianlin Cheng, Arlo Randall, Pierre Baldi
Bioinformatics (Oxford, England)
|
June 25, 2009
SOLpro: accurate sequence-based prediction of protein solubility
Christophe N Magnan, Arlo Randall, Pierre Baldi
Bioinformatics (Oxford, England)
|
November 17, 2007
TMBpro: secondary structure, beta-contact and tertiary structure prediction of transmembrane beta-barrel proteins
Arlo Randall, Jianlin Cheng, Michael Sweredoski, 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 progress
Alessio 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 stability
Dora L Guzmán, Arlo Randall, Pierre Baldi, et al.
Biotechnology and Bioengineering
|
December 20, 2011
Rationally selected single-site mutants of the Thermoascus aurantiacus endoglucanase increase hydrolytic activity on cellulosic substrates
Sneha Srikrishnan, Arlo Randall, Pierre Baldi, et al.
Advanced Functional Materials
|
March 26, 2013
Biomimetic Design of Protein Nanomaterials for Hydrophobic Molecular Transport
Dongmei Ren, Mercè Dalmau, Arlo Randall, et al.
Page
of 4