Recently scientists developed an In Silico mathematical
algorithm and Profile Hidden Markov Models (HMMER)method for identification of
peptides that can be a potential therapeutic agent in the treatment of HIV. By
these methods we can identify the peptides that can inhibit HIV replication.Since the discovery of Human Immunodeficiency Virus (HIV)
more than 30 years ago, the Acquired Immunodeficiency Syndrome (AIDS) is
considered as one of the major clinical diseases and a health problem around
the globe, especially in Sub-Saharan Africa.
The driving force behind the
development of High Active Antiretroviral Therapy (HAART) for HIV treatment hasbeen inevitable due to the emergence of HIV progression. This demand has
continuously been met by the pharmaceutical industry by developing new drugs or
by modifying the existing medication in a timely fashion. Notwithstanding these
advancements, the rapid emergence of resistance to current treatment regimens
is even a greater problem for life-threatening HIV infections due to single
class of HAART treatment and non-adherence to medication, therefore a daunting
clinical problem. Read more..............
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