Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title:
Computational analysis of DNMT1 mediated DNA methylation pathway regulating LIM-homeodomain 2 gene and PTGDS regulation for hair growth: A predictive approach for Androgenetic alopecia
Authors Name:
Arun R. Nair
, Dr. Mahavir Yadav , Prof. Archana Tiwari
Molecular docking is the study of interaction between protein ligand molecules, used as a powerful tool for drug designing. Androgenetic alopecia, where miniature of the hair takes place by converting testosterone to dihydrotestosterone via 5-alpha reductase. Hair follicle, a mini-organ developed in the epithelial layer is one of the complex structural and functional unit of the hair growth. DNMT1, DNMT3a, DNMT3b, DNMT3L and TETs group of proteins, which gives structural stability to the gene and expression by epigenetic modification of DNA, play an important role in hair growth. LHX2 is responsible for the initiation of anagen phase of hair growth. DNMT1 can be regulated by various ligands; in this paper we show the best affinity value of DNMT1 with 5- azacytidin. We also find luteolin, which has best affinity value with Prostaglandin D2 synthase, which converts PGH2 to PGD2, In future; these two molecules can be used as drugs to prevent hair loss in humans.
Keywords:
Cite Article:
"Computational analysis of DNMT1 mediated DNA methylation pathway regulating LIM-homeodomain 2 gene and PTGDS regulation for hair growth: A predictive approach for Androgenetic alopecia", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 8, page no.172 - 180, August-2018, Available :http://www.ijrti.org/papers/IJRTI1808029.pdf
Downloads:
000205077
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator