scholarly journals COMPUTER-AIDED DESIGN OF POTENTIAL AROMATASE INHIBITORS BASED ON 1,2,4-TRIAZOLE DERIVATIVES

Author(s):  
A. M. Andrianov ◽  
G. I. Nikolaev ◽  
I. A. Kashyn ◽  
Yu. V. Kornoushenko ◽  
S. A. Usanov

Computer-aided design of the high-affinity inhibitors of aromatase based on 1,2,4-triazole derivatives was performed by molecular modeling tools. The potential biological activity of the designed compounds was evaluated by molecular docking and quantum chemistry calculations. As a result, six hits that form a coordinate bond with an iron atom of an enzyme hem and effectively interact with its substrate-binding site were identified. The intermolecular interactions appearing in the structural complexes of these ligands with aromatase were analyzed and the enthalpies of their formation were calculated. Based on the data obtained, the identified compounds were suggested to present good scaffolds for the development of novel effective drugs against breast cancer.

Author(s):  
A.M. Andrianov ◽  
G.I. Nikolaev ◽  
I.A. Kashyn ◽  
Y.V. Kornoushenko ◽  
S.A. Usanov

Computer-aided design of the high-affinity inhibitors of aromatase based on 1,2,4-triasole derivatives was performed by molecular modeling tools. Potential biological activity of the designed compounds was evaluated by molecular docking and quantum chemistry calculations. As a result, nine hits that form a coordinate bond with the iron atom of the enzyme hem and effectively interact with its substrate-binding site were identified. Analysis of intermolecular interactions appearing in the structural complexes of these ligands with aromatase was carried out and the enthalpies of their formation were calculated. Based on the data obtained, the identified compounds were suggested to present good scaffolds for the development of novel effective drugs against breast cancer.


2020 ◽  
Vol 318 ◽  
pp. 01032
Author(s):  
Maria Chatzikyrkou ◽  
Athanasios Manavis ◽  
Prodromos Minaoglou ◽  
Nikolaos Efkolidis

This paper presents a four-step training model based on pedagogical methodologies for introducing CAD (Computer-Aided Design) modelling tools and 3D printing technologies to adult trainees. Nowadays, 3D modeling techniques and 3D printing technologies are emerging core competencies due to the increasing popularity of STEAM education frameworks. The proposed training model has these four stages for trainees’ team: a) theoretical background of program based on traditional educational techniques, b) e-learning tools and parallel interaction with the trainer, c) micro-teaching frameworks and case studies and d) brief questionnaires with motivation and satisfaction criteria completed by the trainees. The present paper attempts to identify the pleasure and satisfaction of participating in New Technologies Education through CAD (Computer-Aided Design) modelling tools and 3D printing technologies program.


Author(s):  
Prakhar Jaiswal ◽  
Anurag Baburao Bajad ◽  
Vishwas Grama Nanjundaswamy ◽  
Anoop Verma ◽  
Rahul Rai

The concepts of scale and platform based product family are being used by many companies to meet the customization needs of customers. Research in the area of product family design predominantly focuses on optimization frameworks. There is a lack of creative conceptual computer-aided 3D modeling tools for product family design exploration. In this paper, a gesture-based conceptual computer-aided design (C-CAD) exploration tool for scaled 3D product family models is presented. The proposed gesture-based C-CAD allows for easy, natural, and intuitive modification of 3D objects to create scaled 3D product family models. The input 3D model for conceptual design exploration purposes are obtained in two ways: (a) 3D model is generated by scanning an existing product using depth sensing (RGB-D) camera, and (b) 3D models available in large online repository such as Google Warehouse and TurboSquid are used as-is. Hand gestures recognized using the DepthSense® 311 (RGB-D) camera from SoftKinetic® are used in conjunction with Principal Component Analysis (PCA) based geometric algorithms to enable the interactive scaling of inputted 3D models. The efficacy of the proposed method is demonstrated through multiple example problems. The proposed method of 3D model exploration is most useful for product designs that are scaled variants.


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