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Abstract - Issue Jan 2016, 37 (1) Back
nstantaneous and historical temperature effects on a-pinene
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Protein
characterization and sequence analysis of ALLCE
antimicrobial
peptide from Allium cepa
Raid
Al Akeel1, Ayesha Mateen2*, V.C. Gupta2 and
K. Janardhan3
1Department of
Clinical Laboratory Sciences, College of Applied Medical Sciences.King Saud
University, Riaydh, Saudi Arabia
2Central Research
Institute for Unani Medicine, Opp. Employees' State Insurance, Hyderabad,
India
3P.G. Department
of Biotechnology, A.V. College, Hyderabad, India
*Corresponding
Author E-mail: ayeshamateen@gmail.com
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Publication
Data
Paper received:
11 June 2015
Revised received:
14 September 2015
Re-revised received:
07 October 2015
Accepted:
28 October 2015
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Abstract
Antimicrobial
proteins/peptides produced by plant seeds participate in protection of seeds
against pathogenic organisms. A study was carried out to investigate the in
silico analysis of protein sequence localization, structure, homology
modeling and 3D structure prediction of ALLCE-AMP in Allium cepa.?
Primary structure prediction and physico-chemical characterization were
performed by computing theoretical isoelectric point (pI), molecular weight,
total number of positive and negative residues, extinction coefficient,
instability index, aliphatic index and grand average hydropathy (GRAVY). In
the present study, homology modeling, a high quality of peptide 3D structure,
was predicted by submitting the peptide sequence (target) to ESYPred3D web
server. The template (1T12 chain A) was found to share 18.2% identity with
the Query (B2CZN8). The model was validated using protein structure checking
tools PROCHECK and ERRAT VALUE (62.353). The present study would be useful in
studying protein-protein interactions and drug designing.
Key
words
Allium
cepa, ALLCE-AMP, PROCHECK, Structure prediction, Subcellular
localization
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