Dr. Gerald H. Lushington serves as the Editor-in-Chief of the Journal: Combinatorial Chemistry & High Throughput Screening
LiS Consulting, Lawrence
Insights from Bentham Science
LiS Consulting, Lawrence
A metabolic pathway is an important type of biological pathway, which is composed of a series of chemical reactions. It provides essential molecules and energies for living organisms. To date, several metabolic pathways have been uncovered. However, their completeness is still on the way. A number of prediction methods have been built to assign chemicals into certain metabolic pathway, which can further be used to predict novel latent chemicals for a given metabolic pathway. However, they did not make use of chemical properties in a system level to construct prediction models. Read out full article here: http://www.eurekaselect.com/168115
Current Organic Chemistry 22, Issue 2
Combinatorial Chemistry & High Throughput Screening 21, Issue 1
Current Topics in Medicinal Chemistry 18, Issue 1
Current Organic Synthesis 15, Issue 1
Current Computer-Aided Drug Design 14, Issue 1
Letters in Drug Design & Discovery 15, Issue 5
Current Protein & Peptide Science Volume 19, Issue 4
Combinatorial Chemistry & High Throughput Screening Volume 20, Issue 10
Current Pharmaceutical Biotechnology Volume 18, Issue 11
Endocrine, Metabolic & Immune Disorders – Drug Targets Volume 18, Issue 2
Mini-Reviews in Medicinal Chemistry Volume 18, Issue 5
Current Drug Delivery Volume 15, Issue 2
Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research.
For details on the articles, please visit this link :: http://bit.ly/2F4Vppe
Journal: Combinatorial Chemistry & High Throughput Screening
Author(s): Muthusamy Ramesh , Yussif M. Dokurugu, Michael D. Thompson, Mahmoud E. Soliman
Background: Due to the limited number of MAO inhibitors in the clinics, several research efforts are aimed at the discovery of novel MAO inhibitors. At present, a high specificity and a reversible mode of inhibition of MAO-A/B are cited as desirable traits in drug discovery process. This will help to reduce the probability of causing target disruption and may increase the duration of action of drug.
Aim: Most of the existing MAO inhibitors lead to side effects due to the lack of affinity and selectivity. Therefore, there is an urgent need to design novel, potent, reversible and selective inhibitors for MAO-A/B. Selective inhibition of MAO-A results in the elevated level of serotonin and noradrenaline. Hence, MAO-A inhibitors can be used for improving the symptoms of depression. The selective MAO-B inhibitors are used with L-DOPA and/or dopamine agonists in the symptomatic treatment of Parkinson’s disease. The present study was aimed to describe the recently developed hits of MAO inhibitors.
Method: At present, CADD techniques are gaining an attention in rationale drug discovery of MAO inhibitors, and several research groups employed CADD approaches on various chemical scaffolds to identify novel MAO inhibitors. These computational techniques assisted in the development of lead molecules with improved pharmacodynamics / pharmacokinetic properties toward MAOs. Further, CADD techniques provided a better understanding of structural aspects of molecular targets and lead molecules.
Conclusions: The present review describes the importance of structural features of potential chemical scaffolds as well as the role of computational approaches like ligand docking, molecular dynamics, QSAR and pharmacophore modeling in the development of novel MAO inhibitors.
To access the article, please visit: http://www.eurekaselect.com/150823
Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal:
In these respective subject areas, Combinatorial Chemistry & High Throughput Screening is intended to function as the most comprehensive and up-to-date medium available. The journal should be of value to individuals engaged in the process of drug discovery and development, in the settings of industry, academia or government.
For details on the articles, please visit this link: http://bit.ly/2CjsNbz
Combinatorial Chemistry & High Throughput Screening 20-6
Technology Transfer and Entrepreneurship 4-2
Current Organic Chemistry 21-20
Current Cardiology Reviews 13-4
Protein & Peptide Letters 24-8
Current Medicinal Chemistry 24-30
Current Medicinal Chemistry 24-31
Current Drug Discovery Technologies 14-4
Current Medicinal Chemistry 24-32
Current Alzheimer Research 14-12
Current Pharmaceutical Design 23-27
Contributed Article: Design, Synthesis and hMAO Inhibitory Screening of Novel 2-Pyrazoline Analogues
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