Recent Articles

Prediction of Diabetes Mellitus Using Data Mining Techniques: a Review

http://manuscript.advancejournals.org/uploads/79d204c90d522bc98e1af1770c8024c67472c5faa61fd88ddaf218d4388caba4/Manuscript/310.pdf

 Data mining techniques are used to find interesting patterns for medical diagnosis and treatment. Diabetes is a group of metabolic disease in which there are high blood sugar levels over a prolonged period. This paper concentrates on the overall literature survey related to various data mining techniques for predicting diabetes. This would help the researchers to know various data mining algorithm and method for the prediction of diabetes mellitus.

Identification of Potent Hepatitis C Virus Rdrp Inhibitors by Structure Based Drug Designing

http://manuscript.advancejournals.org/uploads/c98cc3bc69bafdff22a1c26a12b9dbe6cd48125d534679700fa8463fb5d60fcb/Manuscript/129.pdf

 Hepatitis C, the silent disease caused by Hepatitis C virus (HCV) is a chronic health infection globally. HCV causes permanent hepatic cirrhosis and carcinoma in humans. WHO estimated about 3 million incidents of HCV infection around the world. Multiple variant genotypes along with the development of Quasi-species limited the efficacy of drugs used for the treatment of HCV infections. This heterogeneity of the virus hampered the drug development against them. The virus hosts many structural and non-structural (NS) proteins. NS5B is a non-structural protein with a unique structure and function. The protein is a RNA dependent RNA polymerase (RdRp) responsible for building the vital genetic component of the virus. Inhibition of NS5B stops viral replication and propagation. The major role played by RdRP makes it a preferential target for anti-HCV drug development. An association of docking and rescoring studies was performed to 24 compounds derived from various plant sources to estimate their activity against HCV NS5B RdRp. Based on the docking characterization and ADMET properties andrographolide, esculetin, columbin and tinosporide were identified as they showed greater potency against HCV NS5B RdRp. However, based on hepato bioactive spectrum and ADMET score, andrographolide from Andrographuis paniculata emerged as a strong contender with lead like characteristics acting as a promising drug candidate.

Selecting the best ligand for Migraine Protein 5-hydroxytryptamine (serotonin) receptor 2A (HT2A) from the Compounds of Valeriana wallichii, Asparagus racemosus and Acorus calamus

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 Gene mutation in HT2A is one among the causes for Migraine. The amino acid sequence was retrieved; the 3D structure was determined by homology modelling. The 3D structures of the compounds of Valeriana wallichii, Asparagus racemosus and Acorus calamus were sketched using Chemsketch & converted to 3D. Using the pharmacophore features of the known ligand myristicin, compounds from V. wallichii, A. racemosus and A. calamus are selected and docked with HT2A receptor. Compound having the best docking score is selected as the best ligand.

Computational Analysis of Oral Disease (Periodontitis) for Drug Targets

http://manuscript.advancejournals.org/uploads/89f1fc857b2b3b76a01abc2cd963869216f98044a508dc1e521863df7473a593/Manuscript/65.pdf

 The oral cavity contains some of the most varied and vast flora in the entire human body and is the main entrance for 2 systems vital to human function and physiology, the gastrointestinal and respiratory systems. Several diseases involve these 2 systems and manifest in the oral cavity. In addition, a specific pathologic condition, such as periodontitis the human oral cavity is a complex biological system in which members of a microbial community interact with themselves as well as with different host structures and components Porphyromonas gingivalis, Streptococcus mutans and Treponema denticola cause periodontitis. The pathogenisis of this dental infection is a multi factorial process that results in a serious degenerative disease of the periodontium. Researchers have resulted in the identification of important virulence factors. These researches have provided a narrow picture of the steps of this complex process. In the present study Ferric binding protein is taken as a case study molecule to understand high reactive responses of various drugs administered for the oral periodontitis. The drugs are being compared with the Fbp. The Fbp interacted with doxycycline, flurbiprofen and chlorhexidine using docking methods.