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Full-Text Articles in Computational Biology
Application Of Hidden Markov Model Based Methods For Gaining Insights Into Protein Domain Evolution And Function, Amit Anil Upadhyay
Application Of Hidden Markov Model Based Methods For Gaining Insights Into Protein Domain Evolution And Function, Amit Anil Upadhyay
Doctoral Dissertations
With the explosion in the amount of available sequence data, computational methods have become indispensable for studying proteins. Domains are the fundamental structural, functional and evolutionary units that make up proteins. Studying protein domains is an important part of understanding protein function and evolution. Hidden Markov Models (HMM) are one of the most successful methods that have been applied for protein sequence and structure analysis. In this study, HMM based methods were applied to study the evolution of sensory domains in microbial signal transduction systems as well as functional characterization and identification of cellulases in metagenomics datasets. Use of HMM …
Applications Of Evolutionary Bioinformatics In Basic And Biomedical Research, Ogun Adebali
Applications Of Evolutionary Bioinformatics In Basic And Biomedical Research, Ogun Adebali
Doctoral Dissertations
With the revolutionary progress in sequencing technologies, computational biology emerged as a game-changing field which is applied in understanding molecular events of life for not only complementary but also exploratory purposes. Bioinformatics resources and tools significantly help in data generation, organization and analysis. However, there is still a need for developing new approaches built based on a biologist’s point of view. In protein bioinformatics, there are several fundamental problems such as (i) determining protein function; (ii) identifying protein-protein interactions; (iii) predicting the effect of amino acid variants. Here, I present three chapters addressing these problems from an evolutionary perspective. Firstly, …