Homology modeling and epitope prediction of Der f 33

Infectious diseases have caused historical pandemics in the world. Three strategies, including sanitation programs, antimicrobial drugs, and vaccines are considered for the prevention and treatment of infectious diseases. Today, some infectious diseases cause millions of mortalities universally. Due to the emergence of antibiotic-resistant pathogens, as well as some limitations of traditional vaccines, focusing on novel strategies is essential. Multi-Epitope Vaccines (MEVs), as a novel strategy, have been designed based on immunoinformatics methods; epitope prediction by authentic servers, attachment of epitopes using proper linkers, physicochemical, immunological and structural evaluation by bioinformatics tools that are basic stages in MEVs designing. Advantages such as cost-effective, high safety, less time consumption in designing, the application of natural adjuvants, and satisfactory preclinical evaluation outstand MEVs than other types of vaccines. Therefore, MEVs are promising vaccines against resistant diseases such as lower respiratory infection and diarrhea.

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Unveiling the Accuracy of Homology Modeling to Elucidate the Structure of GPCRs-HIV Co-receptor-CCR5 as a Case Study

Letters in Drug Design & Discovery ◽

10.2174/1570180814666171120153956 ◽

2018 ◽

Vol 15 (10) ◽

pp. 1068-1078

Author(s):

Vadivelu Aanand ◽

Rajendran Anitha ◽

Somarathinam Kanagasabai ◽

Gunalan Seshan ◽

Changdev G. Gadhe ◽

...

Keyword(s):

Homology Modeling ◽

Receptor Ccr5

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LegumeDB: Development of Legume Medicinal Plant Database and Comparative Molecular Evolutionary Analysis of matK Proteins of Legumes and Mangroves

Current Nutrition & Food Science ◽

10.2174/1573401314666180223143523 ◽

2019 ◽

Vol 15 (4) ◽

pp. 353-362

Author(s):

Sambhaji B. Thakar ◽

Maruti J. Dhanavade ◽

Kailas D. Sonawane

Keyword(s):

Phylogenetic Analysis ◽

Medicinal Plants ◽

Homology Modeling ◽

Sequence Alignment ◽

Vigna Unguiculata ◽

Multiple Sequence Alignment ◽

Legume Species ◽

Mangrove Species ◽

Multiple Sequence ◽

Thespesia Populnea

Background: Legume plants are known for their rich medicinal and nutritional values. Large amount of medicinal information of various legume plants have been dispersed in the form of text. Objective: It is essential to design and construct a legume medicinal plants database, which integrate respective classes of legumes and include knowledge regarding medicinal applications along with their protein/enzyme sequences. Methods: The design and development of Legume Medicinal Plants Database (LegumeDB) has been done by using Microsoft Structure Query Language Server 2017. DBMS was used as back end and ASP.Net was used to lay out front end operations. VB.Net was used as arranged program for coding. Multiple sequence alignment, phylogenetic analysis and homology modeling techniques were also used. Results: This database includes information of 50 Legume medicinal species, which might be helpful to explore the information for researchers. Further, maturase K (matK) protein sequences of legumes and mangroves were retrieved from NCBI for multiple sequence alignment and phylogenetic analysis to understand evolutionary lineage between legumes and mangroves. Homology modeling technique was used to determine three-dimensional structure of matK from Legume species i.e. Vigna unguiculata using matK of mangrove species, Thespesia populnea as a template. The matK sequence analysis results indicate the conserved residues among legume and mangrove species. Conclusion: Phylogenetic analysis revealed closeness between legume species Vigna unguiculata and mangrove species Thespesia populnea to each other, indicating their similarity and origin from common ancestor. Thus, these studies might be helpful to understand evolutionary relationship between legumes and mangroves. : LegumeDB availability: http://legumedatabase.co.in

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