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Philip M Kim

Showing results (31-40 of 103) with videos related to

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Journal of Medicinal Chemistry|July 25, 2023
Computational Design of Potent and Selective d-Peptide Agonists of the Glucagon-like Peptide-2 ReceptorPedro A Valiente, Satra Nim, Jisun Kim, et al.
BMC Bioinformatics|August 7, 2009
Multi-level learning: improving the prediction of protein, domain and residue interactions by allowing information flow between levelsKevin Y Yip, Philip M Kim, Drew McDermott, et al.
Methods (San Diego, Calif.)|July 4, 2012
Computational analysis of interactomes: current and future perspectives for bioinformatics approaches to model the host-pathogen interaction spaceRoland Arnold, Kurt Boonen, Mark G F Sun, et al.
ACS Omega|December 16, 2024
A High-Throughput Method for Screening Peptide Activators of G-Protein-Coupled ReceptorsYagya Prasad Paudel, Pedro A Valiente, Jisun Kim, et al.
Trends in Pharmacological Sciences|January 20, 2023
Computational and artificial intelligence-based methods for antibody developmentJisun Kim, Matthew McFee, Qiao Fang, et al.
Plos Computational Biology|April 12, 2023
Gate-based quantum computing for protein designMohammad Hassan Khatami, Udson C Mendes, Nathan Wiebe, et al.
Science (New York, N.Y.)|December 23, 2006
Relating three-dimensional structures to protein networks provides evolutionary insightsPhilip M Kim, Long J Lu, Yu Xia, et al.
Science Signaling|July 30, 2009
Understanding modularity in molecular networks requires dynamicsRoger P Alexander, Philip M Kim, Thierry Emonet, et al.
Plos Computational Biology|April 24, 2007
The importance of bottlenecks in protein networks: correlation with gene essentiality and expression dynamicsHaiyuan Yu, Philip M Kim, Emmett Sprecher, et al.
Plos One|September 23, 2014
Combining structural modeling with ensemble machine learning to accurately predict protein fold stability and binding affinity effects upon mutationNiklas Berliner, Joan Teyra, Recep Colak, et al.
Pageof 11

Showing results (31-40 of 103) with videos related to

Sort By:
Pageof 11
Journal of Medicinal Chemistry|July 25, 2023
Computational Design of Potent and Selective d-Peptide Agonists of the Glucagon-like Peptide-2 ReceptorPedro A Valiente, Satra Nim, Jisun Kim, et al.
BMC Bioinformatics|August 7, 2009
Multi-level learning: improving the prediction of protein, domain and residue interactions by allowing information flow between levelsKevin Y Yip, Philip M Kim, Drew McDermott, et al.
Methods (San Diego, Calif.)|July 4, 2012
Computational analysis of interactomes: current and future perspectives for bioinformatics approaches to model the host-pathogen interaction spaceRoland Arnold, Kurt Boonen, Mark G F Sun, et al.
ACS Omega|December 16, 2024
A High-Throughput Method for Screening Peptide Activators of G-Protein-Coupled ReceptorsYagya Prasad Paudel, Pedro A Valiente, Jisun Kim, et al.
Trends in Pharmacological Sciences|January 20, 2023
Computational and artificial intelligence-based methods for antibody developmentJisun Kim, Matthew McFee, Qiao Fang, et al.
Plos Computational Biology|April 12, 2023
Gate-based quantum computing for protein designMohammad Hassan Khatami, Udson C Mendes, Nathan Wiebe, et al.
Science (New York, N.Y.)|December 23, 2006
Relating three-dimensional structures to protein networks provides evolutionary insightsPhilip M Kim, Long J Lu, Yu Xia, et al.
Science Signaling|July 30, 2009
Understanding modularity in molecular networks requires dynamicsRoger P Alexander, Philip M Kim, Thierry Emonet, et al.
Plos Computational Biology|April 24, 2007
The importance of bottlenecks in protein networks: correlation with gene essentiality and expression dynamicsHaiyuan Yu, Philip M Kim, Emmett Sprecher, et al.
Plos One|September 23, 2014
Combining structural modeling with ensemble machine learning to accurately predict protein fold stability and binding affinity effects upon mutationNiklas Berliner, Joan Teyra, Recep Colak, et al.
Pageof 11