Philip M. Kim

Publication List Details

Period

2003 - 2009

Number

24

Co-Authors

Multi-level learning: improving the prediction of protein, domain and residue interactions by allowing information flow between levels (2009)

Yip, Kevin Y, Kim, Philip M, McDermott, Drew, Gerstein, Mark

Abstract Background Proteins interact through specific binding interfaces that contain many residues in domains. Protein interactions thus occur on three different levels of a concept hierarchy:...

Application Note An Integrated System for Studying Residue Coevolution in Proteins (2008)

Kevin Y. Yip, Prianka Patel, Philip M. Kim, Donald M. Engelman, Drew Mcdermott

Residue coevolution has recently emerged as an important concept, especially in the context of protein structures. While a multitude of different functions for quantifying it have been proposed, not...

The tyna platform for comparative interactomics: a web tool for managing, comparing and mining multiple networks (2008)

Kevin Y. Yip, Haiyuan Yu, Philip M. Kim, Martin Schultz, Mark Gerstein

Biological processes involve complex networks of interactions between molecules. Various large-scale experiments and curation efforts have led to preliminary versions of complete cellular networks...

An integrated system for studying residue coevolution in proteins (2008)

Yip, Kevin Y., Patel, Prianka, Kim, Philip M., Engelman, Donald M., McDermott, Drew, Gerstein, Mark

Residue coevolution has recently emerged as an important concept, especially in the context of protein structures. While a multitude of different functions for quantifying it have been proposed, not...

Analysis of copy number variants and segmental duplications in the human genome: Evidence for a change in the process of formation in recent evolutionary history (2008)

Kim, Philip M., Lam, Hugo Y.K., Urban, Alexander E., Korbel, Jan O., Affourtit, Jason, Grubert, Fabian, ...

Segmental duplications (SDs) are operationally defined as >1 kb stretches of duplicated DNA with high sequence identity. They arise from copy number variants (CNVs) fixed in the population. To...

Copy Number Variants and Segmental Duplications Show Different Formation Signatures (2007)

Kim, Philip M., Korbel, Jan O., Chen, Xueying, Gerstein, Mark B.

In addition to variation in terms of single nucleotide polymorphisms (SNPs), whole regions ranging from several kilobases up to a megabase in length differ in copy number among individuals. These...

Comparing Classical Pathways and Modern Networks: Towards the Development of an Edge Ontology (2007)

Lu, Long J., Sboner, Andrea, Huang, Yuanpeng J., Lu, Hao Xin, Gianoulis, Tara A., Yip, Kevin Y., ...

Pathways are integral to systems biology. Their classical representation has proven useful but is inconsistent in the meaning assigned to each arrow (or edge) and inadvertently implies the isolation...

The Importance of Bottlenecks in Protein Networks: Correlation with Gene Essentiality and Expression Dynamics (2007)

Haiyuan Yu, Philip M. Kim, Emmett Sprecher, Valery Trifonov, Mark Gerstein

It has been a long-standing goal in systems biology to find relations between the topological properties and functional features of protein networks. However, most of the focus in network studies has...

The Importance of Bottlenecks in Protein Networks: Correlation with Gene Essentiality and Expression Dynamics (2007)

Haiyuan Yu, Philip M. Kim, Emmett Sprecher, Valery Trifinov, Mark Gerstein

It has been a long-standing goal in systems biology to find relations between the topological properties and functional features of protein networks. However, most of the focus in network studies has...

The tYNA platform for comparative interactomics: a web tool for managing, comparing and mining multiple networks (2006)

Yip, Kevin Y., Yu, Haiyuan, Kim, Philip M., Schultz, Martin, Gerstein, Mark

Summary: Biological processes involve complex networks of interactions between molecules. Various large-scale experiments and curation efforts have led to preliminary versions of complete cellular...

Limitations of Quantitative Gene Regulation Models: A Case Study (2003)

Kim, Philip M., Tidor, Bruce

Understanding the relationship between network structure and behavior is fundamental to the field of computational and systems biology. A particularly important distinction is the extent to which...

Subsystem Identification Through Dimensionality Reduction of Large-Scale Gene Expression Data (2003)

Kim, Philip M., Tidor, Bruce

The availability of parallel, high-throughput biological experiments that simultaneously monitor thousands of cellular observables provides an opportunity for investigating cellular behavior in a...

Subsystem Identification Through Dimensionality Reduction of Large-Scale Gene Expression Data

Kim, Philip M., Tidor, Bruce

The availability of parallel, high-throughput biological experiments that simultaneously monitor thousands of cellular observables provides an opportunity for investigating cellular behavior in a...

Limitations of Quantitative Gene Regulation Models: A Case Study

Kim, Philip M., Tidor, Bruce

Understanding the relationship between network structure and behavior is fundamental to the field of computational and systems biology. A particularly important distinction is the extent to which...

Subsystem Identification Through Dimensionality Reduction of Large-Scale Gene Expression Data

Kim, Philip M., Tidor, Bruce

The availability of parallel, high-throughput biological experiments that simultaneously monitor thousands of cellular observables provides an opportunity for investigating cellular behavior in a...

Limitations of Quantitative Gene Regulation Models: A Case Study

Kim, Philip M., Tidor, Bruce

Understanding the relationship between network structure and behavior is fundamental to the field of computational and systems biology. A particularly important distinction is the extent to which...

The Importance of Bottlenecks in Protein Networks: Correlation with Gene Essentiality and Expression Dynamics

Yu, Haiyuan, Kim, Philip M, Sprecher, Emmett, Trifonov, Valery, Gerstein, Mark

It has been a long-standing goal in systems biology to find relations between the topological properties and functional features of protein networks. However, most of the focus in network studies has...

The role of disorder in interaction networks: a structural analysis

Kim, Philip M, Sboner, Andrea, Xia, Yu, Gerstein, Mark

Recent studies have emphasized the value of including structural information into the topological analysis of protein networks. Here, we utilized structural information to investigate the role of...

Positive selection at the protein network periphery: Evaluation in terms of structural constraints and cellular context

Kim, Philip M., Korbel, Jan O., Gerstein, Mark B.

Because of recent advances in genotyping and sequencing, human genetic variation and adaptive evolution in the primate lineage have become major research foci. Here, we examine the relationship...

High-Resolution Copy-Number Variation Map Reflects Human Olfactory Receptor Diversity and Evolution

Hasin, Yehudit, Olender, Tsviya, Khen, Miriam, Gonzaga-Jauregui, Claudia, Kim, Philip M., Urban, Alexander Eckehart, ...

Olfactory receptors (ORs), which are involved in odorant recognition, form the largest mammalian protein superfamily. The genomic content of OR genes is considerably reduced in humans, as reflected...

Analysis of copy number variants and segmental duplications in the human genome: Evidence for a change in the process of formation in recent evolutionary history

Kim, Philip M., Lam, Hugo Y.K., Urban, Alexander E., Korbel, Jan O., Affourtit, Jason, Grubert, Fabian, ...

Segmental duplications (SDs) are operationally defined as >1 kb stretches of duplicated DNA with high sequence identity. They arise from copy number variants (CNVs) fixed in the population. To...

Bayesian Modeling of the Yeast SH3 Domain Interactome Predicts Spatiotemporal Dynamics of Endocytosis Proteins

Tonikian, Raffi, Xin, Xiaofeng, Toret, Christopher P., Gfeller, David, Landgraf, Christiane, Panni, Simona, ...

A genome-scale specificity and interaction map for yeast SH3 domain-containing proteins reveal how family members show selective binding to target proteins and predicts the dynamic localization of...