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Ilya Muchnik
Researcher at Rutgers University
Publications - 74
Citations - 2422
Ilya Muchnik is an academic researcher from Rutgers University. The author has contributed to research in topics: Cluster analysis & Support vector machine. The author has an hindex of 19, co-authored 74 publications receiving 2200 citations. Previous affiliations of Ilya Muchnik include Boston University & Center for Discrete Mathematics and Theoretical Computer Science.
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Prediction of protein folding class using global description of amino acid sequence.
TL;DR: A method for predicting protein folding class based on global protein chain description and a voting process, achieved by a computer-simulated neural network trained on a data base consisting of 83 folding classes, shows that proteins were assigned to the correct class with an average accuracy.
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An implementation of logical analysis of data
TL;DR: An implementation of this "logical analysis of data" (LAD) methodology is described, along with the results of numerical experiments demonstrating the classification performance of LAD in comparison with the reported results of other procedures.
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Reconstruction of Ancient Molecular Phylogeny
TL;DR: Under the assumption that differences among gene trees can be explained by gene duplications, and consequent losses, it is developed a method to obtain the global phylogeny minimizing the total number of postulated duplications and losses and to trace back such individual gene duplication to global genome duplications.
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Recognition of a protein fold in the context of the SCOP classification
TL;DR: A computational method has been developed for the assignment of a protein sequence to a folding class in the SCOP, using global descriptors of a primary protein sequence in terms of the physical, chemical, and structural properties of the constituent amino acids.
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Recognition of a protein fold in the context of the Structural Classification of Proteins (SCOP) classification.
TL;DR: A computational method has been developed for the assignment of a protein sequence to a folding class in the Structural Classification of Proteins (SCOP) using global descriptors of a primary protein sequence in terms of the physical, chemical, and structural properties of the constituent amino acids.