Protein designability analysis in sequence principal component space using 2D lattice model

10.1016/j.cmpb.2004.04.001Computer Methods and Programs in Biomedicine76121-29CMPB

Statistical learning approach for predicting specific pharmacodynamic, pharmacokinetic, or toxicological properties of pharmaceutical agents

10.1002/ddr.20044Drug Development Research664245-259DDRE

PEARLS: Program for energetic analysis of receptor - Ligand system

10.1021/ci0502146Journal of Chemical Information and Modeling461445-45

Machine learning approaches for predicting compounds that interact with therapeutic and ADMET related proteins

10.1002/jps.20985Journal of Pharmaceutical Sciences96112838-2860JPMS

Prediction of compounds with specific pharmacodynamic, pharmacokinetic or toxicological property by statistical learning methods

10.2174/138955706776361501Mini-Reviews in Medicinal Chemistry64449-459MMCI

The under-appreciated promiscuity of the epidermal growth factor receptor family.

Each member of the epidermal growth factor receptor (EGFR) family plays a key role in normal development, homeostasis and a variety of pathophysiological conditions, most notably in cancer. According to the prevailing dogma, these four receptor tyrosine kinases (RTKs; EGFR, ERBB2, ERBB3 and ERBB4) function exclusively through the formation of homodimers and heterodimers within the EGFR family. These combinatorial receptor interactions are known to generate increased interactome diversity and therefore influence signalling output, subcellular localization and function of the heterodimer. This molecular plasticity is also thought to play a role in the development of resistance towards targeted cancer therapies aimed at these known oncogenes. Interestingly, many studies now challenge this dogma and suggest that the potential for EGFR family receptors to interact with more distantly related RTKs is much greater than currently appreciated. Here we discuss how the promiscuity of these oncogenic receptors may lead to the formation of many unexpected receptor pairings and the significant implications for the efficiency of many targeted cancer therapies