UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 4
April-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2304B22


Registration ID:
513954

Page Number

l129-l133

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Title

IDENTIFICATION AND QUANTIFICATION OF HUMAN INSULIN BY APPLYING CONSERVE DOMAIN SEARCH

Abstract

Abstract: Identification and quantification of human insulin is increasingly requested for clinical monitoring, for anti-doping purposes. Indeed, insulin analogues may be abused for suicide or homicide in different way in forensic interest. The recent technological advances the development of new extraction techniques particularly for anti-doping analyses, detection of insulins in the first validated quantitative method for analysis human insulin and its six analogues (Lispro, Aspart, Glulisine, Glargine, Detemir and Degludec) in plasma. Sequence analysis using complete amino acid sequence of human insulin-like growth factor I (IGF-I), a polypeptide isolated from serum, has been determined.Analysis PDBsum the relative disposition of the α-helices (red cylinders) Insulin-like growth factor-1 (IGF-1) act as mediator of growth hormone (GH), that promoting cell growth and differentiation in childhood have an anabolic effect in adults. IGF-1 network of growth factors, receptors and binding proteins involved in mediating cellular proliferation, differentiation and Bioavailability of IGF-1 is affected by insulin-like growth factor binding proteins (IGFBPs) which bind IGF-1 in circulation. IGFs is a (also called C-domain) single polypeptide chains which hold the insulin folding. IGF-1 and IGF-2(except that they are expressed at different stages of physiological development) have similar functional.

Key Words

Insulin, Structure Analysis, Validation, multi-domain model,COBALT, E-Value

Cite This Article

"IDENTIFICATION AND QUANTIFICATION OF HUMAN INSULIN BY APPLYING CONSERVE DOMAIN SEARCH", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.l129-l133, April-2023, Available :http://www.jetir.org/papers/JETIR2304B22.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"IDENTIFICATION AND QUANTIFICATION OF HUMAN INSULIN BY APPLYING CONSERVE DOMAIN SEARCH", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 4, page no. ppl129-l133, April-2023, Available at : http://www.jetir.org/papers/JETIR2304B22.pdf

Publication Details

Published Paper ID: JETIR2304B22
Registration ID: 513954
Published In: Volume 10 | Issue 4 | Year April-2023
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.33969
Page No: l129-l133
Country: GREATER NOIDA, Uttar Pradesh, United States of America .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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