83 research outputs found
I Was Addicted to Sex With Married Women
As a young man, Akhil Sharma revelled in the most dangerous of liaisons, having sex with other men's wives – until the thrill began to pall
Recollections of a Hindu Hedonist
Novelist Akhil Sharma grew up in a teetotaling Indian household. Here, he tells how discovering a passion for great wine helped him create a new identity out of a painful past
Maldives Resorts: Eco-Friendly Vacations
Luxurious, exclusive and remote, the Maldives are the ultimate beach escape. They’re also a case study in the risks of global warming. Writer Akhil Sharma visits the country’s most eco-friendly resorts and discovers a remarkable cuisine worth protecting
Mother and Son
Appeared in special issue, Granta 97: Best of Young American Novelists 2, Essays & Memoir
Multiple Sequence Alignment of Transmembrane Beta-Barrel Proteins
The two main types of transmembrane proteins are transmembrane alpha helices (TMAH)
and transmembrane beta-barrels (TMBB). From literature, we know that both are responsible for diverse biologically important functions. Since there is plenty of sequence and
structural data available on various TMAH proteins, many techniques have been developed
to analyze their sequence. On the contrary, not many TMBB proteins have been identified
or studied. One of the most powerful sequence analysis techniques used for identifying
and annotating the biological sequences is “Multiple Sequence Alignment” (MSA). It is
often used for phylogenetic analysis, identification of conserved regions in the sequences,
prediction of the topology of proteins, etc.
High-throughput sequencing methods generate huge volume of sequence data, but they
remain largely unannotated. Hence an MSA method for TMBB would be important for
sequence-based studies and identifying more of such proteins. In this thesis, we apply a
method called homology extension to the MSA and adjust the strategy applied by TMCoffee, a state of the art MSA method tested for TMAH, to make it suitable for TMBB
proteins. We focus on extensively evaluating this method and comparing it with popular
MSA tools
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