Philip M. Kim

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 10

Top Topics

Subcellular Localization

Bayesian Analysis

Computationally Feasible

Top Venues

Nat. Comput. Sci.

PLoS Comput. Biol.

Publications

Xuezhi Xie, Pedro A. Valiente, Philip M. Kim
design of α-helix structures. Bioinform. 39 (1) (2023)
Jin Sub Lee, Jisun Kim, Philip M. Kim
Score-based generative modeling for de novo protein design. Nat. Comput. Sci. 3 (5) (2023)
Mohammad Hassan Khatami, Udson C. Mendes, Nathan Wiebe, Philip M. Kim
Gate-based quantum computing for protein design. PLoS Comput. Biol. 19 (4) (2023)
Pedro A. Valiente, Satra Nim, Jinah Lee, Seungtaek Kim, Philip M. Kim
Targeting the Receptor-Binding Motif of SARS-CoV-2 with D-Peptides Mimicking the ACE2 Binding Helix: Lessons for Inhibiting Omicron and Future Variants of Concern. J. Chem. Inf. Model. 62 (15) (2022)
Osama Abdin, Philip M. Kim
Rapid protein model refinement by deep learning. Nat. Comput. Sci. 1 (7) (2021)
Alexey Strokach, Philip M. Kim
Deep Generative Modeling for Protein Design. CoRR (2021)
Mark G. F. Sun, Philip M. Kim
Data driven flexible backbone protein design. PLoS Comput. Biol. 13 (8) (2017)
Jouhyun Jeon, Roland Arnold, Fateh Singh, Joan Teyra, Tatjana Braun, Philip M. Kim
PAT: predictor for structured units and its application for the optimization of target molecules for the generation of synthetic antibodies. BMC Bioinform. 17 (2016)
Recep Colak, TaeHyung Kim, Hilal Kazan, Yoomi Oh, Miguel Cruz, Adan Valladares-Salgado, Jesus Peralta, Jorge Escobedo, Esteban J. Parra, Philip M. Kim, Anna Goldenberg
JBASE: Joint Bayesian Analysis of Subphenotypes and Epistasis. Bioinform. 32 (2) (2016)
Daniel K. Witvliet, Alexey Strokach, Andrés Felipe Giraldo-Forero, Joan Teyra, Recep Colak, Philip M. Kim
ELASPIC web-server: proteome-wide structure-based prediction of mutation effects on protein stability and binding affinity. Bioinform. 32 (10) (2016)
Recep Colak, TaeHyung Kim, Magali Michaut, Mark G. F. Sun, Manuel Irimia, Jeremy Bellay, Chad L. Myers, Benjamin J. Blencowe, Philip M. Kim
Distinct Types of Disorder in the Human Proteome: Functional Implications for Alternative Splicing. PLoS Comput. Biol. 9 (4) (2013)
Mark G. F. Sun, Martin Sikora, Michael Costanzo, Charles Boone, Philip M. Kim
Network Evolution: Rewiring and Signatures of Conservation in Signaling. PLoS Comput. Biol. 8 (3) (2012)
Chong Shou, Nitin Bhardwaj, Hugo Y. K. Lam, Koon-Kiu Yan, Philip M. Kim, Michael Snyder, Mark B. Gerstein
Measuring the Evolutionary Rewiring of Biological Networks. PLoS Comput. Biol. 7 (1) (2011)
Hugo Y. K. Lam, Philip M. Kim, Janine Mok, Raffi Tonikian, Sachdev S. Sidhu, Benjamin E. Turk, Michael Snyder, Mark B. Gerstein
MOTIPS: Automated Motif Analysis for Predicting Targets of Modular Protein Domains. BMC Bioinform. 11 (2010)
Kevin Y. Yip, Philip M. Kim, Drew McDermott, Mark Gerstein
Multi-level learning: improving the prediction of protein, domain and residue interactions by allowing information flow between levels. BMC Bioinform. 10 (2009)
Kevin Y. Yip, Prianka Patel, Philip M. Kim, Donald M. Engelman, Drew McDermott, Mark Gerstein
An integrated system for studying residue coevolution in proteins. Bioinform. 24 (2) (2008)
Haiyuan Yu, Philip M. Kim, Emmett Sprecher, Valery Trifonov, Mark Gerstein
The Importance of Bottlenecks in Protein Networks: Correlation with Gene Essentiality and Expression Dynamics. PLoS Comput. Biol. 3 (4) (2007)
Kevin Y. Yip, Haiyuan Yu, Philip M. Kim, Martin H. Schultz, Mark Gerstein
The tYNA platform for comparative interactomics: a web tool for managing, comparing and mining multiple networks. Bioinform. 23 (8) (2007)
Kevin Y. Yip, Haiyuan Yu, Philip M. Kim, Martin H. Schultz, Mark Gerstein
The tYNA platform for comparative interactomics: a web tool for managing, comparing and mining multiple networks. Bioinform. 22 (23) (2006)