Structure-Based Analysis Reveals Cancer Missense Mutations Target Protein Interaction Interfaces

Widespread Macromolecular Interaction Perturbations in Human Genetic Disorders

(2015) Nidhi Sahni et al.   CELL

Integrative analysis of 111 reference human epigenomes

(2015) Anshul Kundaje et al.   NATURE

dSysMap: exploring the edgetic role of disease mutations

(2015) Roberto Mosca et al.   NATURE METHODS

Comprehensive assessment of cancer missense mutation clustering in protein structures

(2015) Atanas Kamburov et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Personalized genomic analyses for cancer mutation discovery and interpretation

(2015) Siân Jones et al.   Science Translational Medicine

Protein Domain-Level Landscape of Cancer-Type-Specific Somatic Mutations

(2015) Fan Yang et al.   PLoS Computational Biology

A Pan-Cancer Catalogue of Cancer Driver Protein Interaction Interfaces

(2015) Eduard Porta-Pardo et al.   PLoS Computational Biology

Pan-Cancer Analysis of Mutation Hotspots in Protein Domains

(2015) Martin L. Miller et al.   Cell Systems

e-Driver: a novel method to identify protein regions driving cancer

(2014) Eduard Porta-Pardo et al.   BIOINFORMATICS

Discovery and saturation analysis of cancer genes across 21 tumour types

(2014) Michael S. Lawrence et al.   NATURE

COSMIC: exploring the world's knowledge of somatic mutations in human cancer

(2014) Simon A. Forbes et al.   NUCLEIC ACIDS RESEARCH

Deriving a Mutation Index of Carcinogenicity Using Protein Structure and Protein Interfaces

(2014) Octavio Espinosa et al.   PLoS One

INstruct: a database of high-quality 3D structurally resolved protein interactome networks

(2013) Michael J. Meyer et al.   BIOINFORMATICS

OncodriveCLUST: exploiting the positional clustering of somatic mutations to identify cancer genes

(2013) David Tamborero et al.   BIOINFORMATICS

Identifying Mendelian disease genes with the Variant Effect Scoring Tool

(2013) Hannah Carter et al.   BMC GENOMICS

HMGB1 in Cancer: Good, Bad, or Both?

(2013) R. Kang et al.   CLINICAL CANCER RESEARCH

Immune escape of cancer cells with beta2-microglobulin loss over the course of metastatic melanoma

(2013) Ana B. del Campo et al.   INTERNATIONAL JOURNAL OF CANCER

Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers

(2013) J. Reimand et al.   Molecular Systems Biology

Mutational heterogeneity in cancer and the search for new cancer-associated genes

(2013) Michael S. Lawrence et al.   NATURE

The Reactome pathway knowledgebase

(2013) David Croft et al.   NUCLEIC ACIDS RESEARCH

Cancer Missense Mutations Alter Binding Properties of Proteins and Their Interaction Networks

(2013) Hafumi Nishi et al.   PLoS One

Integrating Structure to Protein-Protein Interaction Networks That Drive Metastasis to Brain and Lung in Breast Cancer

(2013) H. Billur Engin et al.   PLoS One

Cancer Genome Landscapes

(2013) B. Vogelstein et al.   SCIENCE

p53/HMGB1 Complexes Regulate Autophagy and Apoptosis

(2012) K. M. Livesey et al.   CANCER RESEARCH

A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff

(2012) Pablo Cingolani et al.   FLY

Mutant p53: one name, many proteins

(2012) W. A. Freed-Pastor et al.   GENES & DEVELOPMENT

Three-dimensional reconstruction of protein networks provides insight into human genetic disease

(2012) Xiujuan Wang et al.   NATURE BIOTECHNOLOGY

Interactome3D: adding structural details to protein networks

(2012) Roberto Mosca et al.   NATURE METHODS

Protein-protein interaction sites are hot spots for disease-associated nonsynonymous SNPs

(2011) Alessia David et al.   HUMAN MUTATION

Structural and Functional Impact of Cancer-Related Missense Somatic Mutations

(2011) Zhen Shi et al.   JOURNAL OF MOLECULAR BIOLOGY

International network of cancer genome projects

(2010) Thomas J. Hudson (Chairperson) et al.   NATURE

Edgetic perturbation models of human inherited disorders

(2009) Quan Zhong et al.   Molecular Systems Biology

Prediction of Cancer Driver Mutations in Protein Kinases

(2008) A. Torkamani et al.   CANCER RESEARCH