An International Peer Reviewed Journal for Pharmaceutical, Medical & Biological Sciences

An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)

European Journal of Pharmaceutical and Medical Research (EJPMR) has indexed with various reputed international bodies like : Google Scholar , Indian Science Publications , InfoBase Index (In Process) , SOCOLAR, China , Research Bible, Fuchu, Tokyo. JAPAN , International Society for Research activity (ISRA) , Scientific Indexing Services (SIS) , Polish Scholarly Bibliography , Global Impact Factor (GIF) (Under Process) , Universal Impact Factor , International Scientific Indexing (ISI), UAE  , Index Copernicus , CAS (A Division of American Chemical Society) USA (Under Process) , Directory of Open Access Journal (DOAJ, Sweden, in process) , UDLedge Science Citation Index , CiteFactor , Directory Of Research Journal Indexing (DRJI) , Indian citation Index (ICI) , Journal Index (JI, Under Process) , Directory of abstract indexing for Journals (DAIJ) , Open Access Journals (Under Process) , Impact Factor Services For International Journals (IFSIJ) , Cosmos Impact Factor , Jour Informatics (Under Process) , Eurasian Scientific Journal Index (ESJI) , International Innovative Journal Impact Factor (IIJIF) , Science Library Index, Dubai, United Arab Emirates , Pubmed Database [NLM ID: 101669306] (Under Process) , 

 ISSN 2394-3211

Impact Factor: 4.897

 ICV - 79.57



K. Ashok Kumar, S. K. Gousia, M. Mary Moses and J. Naveena Lavanya Latha*


Background: The structure of protein determines its function and its interactions with other. The regions of proteins that interact with ligands, substrates or other proteins tend to be conserved both in sequence and structure. Experimentally identifying and characterizing metal ion binding sites is a time consuming and costly process. There are many computational methods developed to identify metal ion binding sites, but most use only sequence information. Methods: The work reported here contains, the stereo chemical quality of the protein model was checked by using in silico analysis with PROCHECK and QMEAN servers. Results: In this paper the protein with 4 metal binding sites shows highest metal binding probability for the metal namely calcium in sites 1 & 3 with the metal probability of 0.627722 & 0.757665; magnesium in site 2 with the probability of 0.571190 and zinc in site 4 with the probability of 0.643216 was shown. The 85.9 % residues in the core region of Ramachandran plot showing high accuracy of protein model and the QMEAN Z-score of -3.03 indicates the overall model quality of protein. Conclusions: The result of the study may be a guiding point for further investigations on Lam G protein and metal binding sites.

Keywords: Cell Wall Proteins, ?-1,3, Glucanase, Metal Binding Sites, Homology Modeling, Neurospora Crassa.

[Full Text Article]



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Google Scholar Indian Science Publications InfoBase Index (In Process) SOCOLAR, China Research Bible, Fuchu, Tokyo. JAPAN International Society for Research activity (ISRA) Scientific Indexing Services (SIS) Polish Scholarly Bibliography Global Impact Factor (GIF) (Under Process) Universal Impact Factor International Scientific Indexing (ISI), UAE Index Copernicus CAS (A Division of American Chemical Society) USA (Under Process) Directory of Open Access Journal (DOAJ, Sweden, in process) UDLedge Science Citation Index CiteFactor Directory Of Research Journal Indexing (DRJI) Indian citation Index (ICI) Journal Index (JI, Under Process) Directory of abstract indexing for Journals (DAIJ) Open Access Journals (Under Process) Impact Factor Services For International Journals (IFSIJ) Cosmos Impact Factor Jour Informatics (Under Process) Eurasian Scientific Journal Index (ESJI) International Innovative Journal Impact Factor (IIJIF) Science Library Index, Dubai, United Arab Emirates Pubmed Database [NLM ID: 101669306] (Under Process)