Selection of potential anti-adhesion drugs by in silico approaches targeted to ALS3 from Candida albicans

2019 ◽  
Vol 41 (12) ◽  
pp. 1391-1401 ◽  
Author(s):  
Erika Seki Kioshima ◽  
Cristiane Suemi Shinobu-Mesquita ◽  
Ana Karina Rodrigues Abadio ◽  
Maria Sueli Soares Felipe ◽  
Terezinha Inez Estivalet Svidzinski ◽  
...  
Keyword(s):  
Candida Albicans ◽  
In Silico ◽  
Selection Of

scholarly journals How to Use Online Tools to Generate New Hypotheses for Mammary Gland Biology Research: A Case Study for Wnt7b

2021 ◽  
Author(s):  
Yorick Bernardus Cornelis van de Grift ◽  
Nika Heijmans ◽  
Renée van Amerongen
Keyword(s):  
Mammary Gland ◽  
In Silico ◽  
Online Tools ◽  
Mammary Gland Biology ◽  
User Friendly ◽  
In Silico Analyses ◽  
Biology Research ◽  
Selection Of

AbstractAn increasing number of ‘-omics’ datasets, generated by labs all across the world, are becoming available. They contain a wealth of data that are largely unexplored. Not every scientist, however, will have access to the required resources and expertise to analyze such data from scratch. Fortunately, a growing number of investigators is dedicating their time and effort to the development of user friendly, online applications that allow researchers to use and investigate these datasets. Here, we will illustrate the usefulness of such an approach. Using regulation of Wnt7b expression as an example, we will highlight a selection of accessible tools and resources that are available to researchers in the area of mammary gland biology. We show how they can be used for in silico analyses of gene regulatory mechanisms, resulting in new hypotheses and providing leads for experimental follow up. We also call out to the mammary gland community to join forces in a coordinated effort to generate and share additional tissue-specific ‘-omics’ datasets and thereby expand the in silico toolbox.

scholarly journals Synthesis and ADMET Study of Some 1, 8-Naphthyidine and Quinoline 3-Carboxylic Acid Derivatives

2021 ◽  
Vol 9 (11) ◽  
pp. 1932-1938
Author(s):  
Vinod Kumar Gurjar
Keyword(s):  
Carboxylic Acid ◽  
Virtual Screening ◽  
Heterocyclic Compound ◽  
Mechanism Of Action ◽  
In Silico ◽  
Heterocyclic Compounds ◽  
Analytical Techniques ◽  
Drug Resistant ◽  
Alternate Mechanism ◽  
Selection Of

Abstract: The extremely drug resistant may be a worldwide public ill health in recent years. Molecules with newer targets and an alternate mechanism of action is an urgent requirement of improvement of latest drugs. The utilization of heterocyclic compounds has been increased dramatically over the last 70 years due to their wide selection of technical applications and their favorable environmental and toxicological properties The 1,8-naphthyridine and quinoline 3-carboxylic acid derivatives that we'll manufacture during this method will change the potency and specificity of fluoroquinolones. Taking under consideration the findings, the goal is to style and manufacture 1, 8-naphthyridine and quinoline 3-carboxylic acid derivatives. The synthesized compounds are going to be characterized using multiple analytical techniques, virtual screening, and in-silico ADME/T prediction. Keywords: 1, 8-Naphthyridine, Quinoline, ADMET, Heterocyclic Compound

Bond-based 2D TOMOCOMD-CARDD approach for drug discovery: aiding decision-making in ‘in silico’ selection of new lead tyrosinase inhibitors

2007 ◽  
Vol 21 (4) ◽  
pp. 167-188 ◽  
Author(s):  
Yovani Marrero-Ponce ◽  
Mahmud Tareq Hassan Khan ◽  
Gerardo M. Casañola-Martín ◽  
Arjumand Ather ◽  
Mukhlis N. Sultankhodzhaev ◽  
...  
Keyword(s):  
Decision Making ◽  
Drug Discovery ◽  
In Silico ◽  
Tyrosinase Inhibitors ◽  
Selection Of

Comprehensive in silico analysis of lactic acid bacteria for the selection of desirable probiotics

LWT ◽  
2020 ◽  
Vol 130 ◽  
pp. 109617
Author(s):  
Selvakumar Vijayalakshmi ◽  
Damilare Emmanuel Adeyemi ◽  
In Young Choi ◽  
Ghazala Sultan ◽  
Inamul Hasan Madar ◽  
...  
Keyword(s):  
Lactic Acid ◽  
Lactic Acid Bacteria ◽  
In Silico ◽  
In Silico Analysis ◽  
Silico Analysis ◽  
Selection Of
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