Agasa Ramu Mahesh
@msruas.ac.in/people
Assistant Professor, Department of Pharmaceutical Chemistry
Faculty of Pharmacy, MS Ramaiah University of Applied Sciences
EDUCATION
M.Pharm., MBA., PhD
RESEARCH INTERESTS
Computational chemistry, QSAR, Molecular Docking, Molecular Dynamics, Anticancer studies, Antialzhimer's studies
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Selvaraj Kunjiappan, Parasuraman Pavadai, Anjana Vidya Srivathsa, Nandini Markuli Sadashivappa, Apeksha Krishnamurthy Hegde, Srimathi Radha, Agasa Ramu Mahesh, Damodar Nayak Ammunje, Debanjan Sen, Panneerselvam Theivendren,et al.
Bentham Science Publishers Ltd.
Abstract: Artificial intelligence (AI) speeds up the drug development process and reduces its time, as well as the cost which is of enormous importance in outbreaks such as COVID-19. It uses a set of machine learning algorithms that collects the available data from resources, categorises, processes and develops novel learning methodologies. Virtual screening is a successful application of AI, which is used in screening huge drug-like databases and filtering to a small number of compounds. The brain’s thinking of AI is its neural networking which uses techniques such as Convoluted Neural Network (CNN), Recursive Neural Network (RNN) or Generative Adversial Neural Network (GANN). The application ranges from small molecule drug discovery to the development of vaccines. In the present review article, we discussed various techniques of drug design, structure and ligand-based, pharmacokinetics and toxicity prediction using AI. The rapid phase of discovery is the need of the hour and AI is a targeted approach to achieve this.
Vimal John Samuel, Rashmi DV, and Agasa Ramu Mahesh
A and V Publications
Plant derived products play a vital role in preventing and treating various disease in humans. Tephrosia tinctoria is a plant belonging to the family Leguminosae, found to have antidiabetic and antioxidant activities. The study was aimed to investigate the anti-diabetic and anti-oxidant activity of whole plant of Tephrosia tinctoria in diabetic rats. Alloxan induced model was used to induce Diabetes. The chloroform and ethanolic extracts of Tephrosia tinctoria (CETT and EETT) at the dose of 250 and 500mg/kg b.w were administered orally at single dose per day to diabetic rats. Glipizide 5mg/kg b.w was used as standard drug. The general body weight, insulin level, blood glucose, serum lipid profile, superoxide dismutase, and lipid peroxidation assays were the parameters evaluated in diabetic rats. EETT have better anti-diabetic and anti-oxidant activity than CETT. The protective effects were even confirmed by histopathological studies. These observations show that both the extracts were effective in possessing the significant antidiabetic and antioxidant properties in alloxan induced diabetes.
J. Josephine Leno Jenita, Richa Tibrewal, Seema S. Rathore, D. Manjula, Wilson Barnabas, and Agasa Ramu Mahesh
Elsevier BV
V. J. Samuel, V. Murugan and A. Mahesh
Slovak University of Agriculture in Nitra
V. J. Samuel, A. Mahesh and V. Murugan
Journal of Applied Pharmaceutical Science
Tephrosia, the plant genus belongs to the family Fabaceae. It belongs to the major group of angiosperms (flowering plants) that comprises more than 350 species which is widely distributed in the regions of tropical and subtropical countries of the world. Since the herbal medicine is in demand due to its fewer associated side effects, the genus Tephrosia is extensively used for the treatment of large number of diseases in traditional medicines. The main aim of this review is to summarize and document the phytochemical and pharmacological activities performed on Tephrosia genus. To promote the continual use of these plants and in order to plan for the future studies, it becomes important to provide a basis by combining a number of available information into a single data covering the different aspects of the plant.