Type

Journal Article

Authors

Mario Ali Fares

Subjects

Engineering

Topics
the design and development non parametric methods mutual information content parametric methods models and methods protein protein interactions amino acid molecular

Why should we care about molecular coevolution? (2008)

Abstract Abstract: Non-independent evolution of amino acid sites has become a noticeable limitation of most methods aimed at identifying selective constraints at functionally important amino acid sites or protein regions. The need for a generalised framework to account for non-independence of amino acid sites has fuelled the design and development of new mathemat- ical models and computational tools centred on resolving this problem. Molecular coevolution is one of the most active areas of research, with an increasing rate of new models and methods being developed everyday. Both parametric and non- parametric methods have been developed to account for correlated variability of amino acid sites. These methods have been utilised for detecting phylogenetic, functional and structural coevolution as well as to identify surfaces of amino acid sites involved in protein-protein interactions. Here we discuss and brie fl y describe these methods, and identify their advantages and limitations.
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Full list of authors on original publication

Mario Ali Fares

Experts in our system

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Mario Ali Fares
Trinity College Dublin
Total Publications: 43