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| About Zoran Obradovic (Temple University in Philadelphia) |
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Zoran Obradovic, PhD, is Director of the Center for Information Science and Technology and Professor of Computer and Information Sciences at Temple University in Philadelphia, USA. His research focuses on improving predictive modeling and decision support through data-driven discovery and modeling of hidden patterns in large data sets. Obradovic has published more than 200 articles addressing data mining challenges in health informatics and other domains. His group's pioneering research on the prediction and functional analysis of intrinsically disordered regions in proteins has provided new insight into how protein structure establishes function and the program his team developed was the best rated predictor of intrinsic disorder at three consecutive international competitions organized by protein structure prediction assessment community (CASP 5-7). Obradovic was the program chair at five, track chair at seven and program committee member at about 40 data mining conferences. He currently serves as an editorial board member at seven journals. For more details see www.ist.temple.edu
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Unfoldomics of Human Genetic Diseases
Zoran Obradovic, PhD (Temple University in Philadelphia)
Intrinsically disordered proteins lack stable structure under physiological conditions, yet carry out many crucial biological functions, especially functions associated with regulation, recognition, signaling and control.
Motivated by observed strong correlation between intrinsic disorder and molecular functions known to be involved in cancer, we performed a large scale analysis of intrinsic disorder in genes genes related to 20 human disease classes.
Our analyses revealed that (i) Intrinsic disorder is common in proteins associated with many human genetic diseases; (ii) Different disease classes vary in the disorder contents of their associated proteins; (iii) Molecular recognition features, which are relatively short loosely structured protein regions within mostly disordered sequences and which gain structure upon binding to partners, are common in the diseasome, and their abundance correlates with the intrinsic disorder level; (iv) Some disease classes have a significant fraction of genes affected by alternative splicing, and the alternatively spliced regions in the corresponding proteins are predicted to be highly disordered; and (v) Various diseasome graph-related properties are correlated to intrinsic disorder.
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