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Name | Information Loss observed in ignoring Low Complexity Regions (LCRs) in cancer drug targets |
Description | Original research article:- 1N. Rathankar*, 2Kuldeep. D. Raju, , and 3H. G. Nagendra 1.Asst. Professor, Department of Bioinformatics, School of Bioengineering, SRM University, Kattankulathur, Tamilnadu, India. 2.Associate clinical data coordinator, Quintiles, Bangalore 560 001,India. 3.Professor and Head, Department of Biotechnology, Sir M. Visvesvaraya Institute of Technology, Near Hunasamaranahalli, Via Yelahanka, Bangalore 560 001,India.
Abstract:- Low Complexity regions (LCRs) in proteins are sequences containing regular repeats, cryptic repeats and single amino acid repetitions, recognized by their compositional bias , Some of these regions are highly conserved between species in both composition and sequence. These low complexity sequences are simple sequences and contain sequence segments that are entropically low. Some of these sequences do not contain a structurally homolog and are considered as information less. The SEG program originally designed by Wootton and Federhen (1993) was the first program to predict these LCRs in protein sequences. For nearly a decade, this program was used by various database search tools such as NCBI-Blastp , megablast , etc to avoid spurious hits during sequence searches by masking the low complexity regions and it is really unfortunate to note that, such fragments did not receive wide attention for a long time despite its crucial role in diseases . In this paper, an attempt to mark the importance of LCRs in drug targets related to cancer has been catalogued by us. Key Words:-Low complexity regions, SEG, cancer targets, simple sequences, polyglutamine runs. |
Filename | Rathankar N et.al..pdf |
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Created On: | 07/17/2011 00:00 |
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Last updated on | 08/13/2011 17:19 |
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