Literature DB >> 22587763

Evaluation of the pharmacological descriptors related to the induction of antidepressant activity and its prediction by QSAR/QRAR methods.

S Avram1, C Buiu, D Duda-Seiman, C Duda-Seiman, F Borcan, D Mihailescu.   

Abstract

Antidepressants are psychiatric agents used for the treatment of different types of depression, being at present amongst the most commonly prescribed drugs, while their effectiveness and adverse effects are still the subject of many studies. To reduce the inefficiency of known antidepressants caused by their side-effects, many research efforts have recently focused on the development of improved strategies for new antidepressants drug design. For this reason it is necessary to apply very fast and precise techniques, such as QSAR (Quantitative Structure-Activity Relationships) and QRAR (Quantitative Retention-Activity Relationship), which are capable to analyze and predict the biological activity for these structures, taking in account the possible changes of the molecular structures and chromatographic parameters. We discuss the pharmaceutical descriptors (van der Waals, electrostatic, hydrophobicity, hydrogen donor/acceptor bond, Verloop's parameters, polar area) involved in QSAR and also chromatographic parameters involved in QRAR studies of antidepressants. Antidepressant activities of alkanol piperazine, acetamides, arylpiperazines, thienopyrimidinone derivatives (as preclinical antidepressants) and also the antidepressants already used in clinical practice are mentioned.

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Year:  2012        PMID: 22587763     DOI: 10.2174/138955712800493834

Source DB:  PubMed          Journal:  Mini Rev Med Chem        ISSN: 1389-5575            Impact factor:   3.862


  6 in total

Review 1.  Chemical Structure-Biological Activity Models for Pharmacophores' 3D-Interactions.

Authors:  Mihai V Putz; Corina Duda-Seiman; Daniel Duda-Seiman; Ana-Maria Putz; Iulia Alexandrescu; Maria Mernea; Speranta Avram
Journal:  Int J Mol Sci       Date:  2016-07-08       Impact factor: 5.923

2.  Novel 1-(2-pyrimidin-2-yl)piperazine derivatives as selective monoamine oxidase (MAO)-A inhibitors.

Authors:  Betül Kaya; Leyla Yurttaş; Begüm Nurpelin Sağlik; Serkan Levent; Yusuf Özkay; Zafer Asim Kaplancikli
Journal:  J Enzyme Inhib Med Chem       Date:  2017-12       Impact factor: 5.051

3.  Preparation and Characterization of Whey Protein Isolate-DIM Nanoparticles.

Authors:  Abbas Khan; Cuina Wang; Xiaomeng Sun; Adam Killpartrick; Mingruo Guo
Journal:  Int J Mol Sci       Date:  2019-08-12       Impact factor: 5.923

Review 4.  Current Treatment Strategies and Nanoparticle-Mediated Drug Delivery Systems for Pulmonary Arterial Hypertension.

Authors:  Kazufumi Nakamura; Satoshi Akagi; Kentaro Ejiri; Masashi Yoshida; Toru Miyoshi; Norihisa Toh; Koji Nakagawa; Yoichi Takaya; Hiromi Matsubara; Hiroshi Ito
Journal:  Int J Mol Sci       Date:  2019-11-23       Impact factor: 5.923

Review 5.  Advanced Bioinformatics Tools in the Pharmacokinetic Profiles of Natural and Synthetic Compounds with Anti-Diabetic Activity.

Authors:  Ana Maria Udrea; Gratiela Gradisteanu Pircalabioru; Anca Andreea Boboc; Catalina Mares; Andra Dinache; Maria Mernea; Speranta Avram
Journal:  Biomolecules       Date:  2021-11-14

Review 6.  Potential Therapeutic Approaches to Alzheimer's Disease By Bioinformatics, Cheminformatics And Predicted Adme-Tox Tools.

Authors:  Speranta Avram; Maria Mernea; Carmen Limban; Florin Borcan; Carmen Chifiriuc
Journal:  Curr Neuropharmacol       Date:  2020       Impact factor: 7.363

  6 in total

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