Molecular properties prediction, synthesis and antimicrobial activity of some newer oxadiazole derivatives

2010 ◽  
Vol 45 (12) ◽  
pp. 5862-5869 ◽  
Author(s):  
Mohammed Afroz Bakht ◽  
M. Shahar Yar ◽  
Sami Gaber Abdel-Hamid ◽  
Saleh I. Al Qasoumi ◽  
Abdul Samad
Keyword(s):  
Antimicrobial Activity ◽  
Molecular Properties ◽  
Oxadiazole Derivatives ◽  
Molecular Properties Prediction

scholarly journals Synthesis, Molecular Properties Prediction, and Anti-staphylococcal Activity of N-Acylhydrazones and New 1,3,4-Oxadiazole Derivatives

Molecules ◽  
2012 ◽  
Vol 17 (5) ◽  
pp. 5095-5107 ◽  
Author(s):  
Cledualdo Soares de Oliveira ◽  
Bruno Freitas Lira ◽  
Vivyanne dos Santos Falcão-Silva ◽  
Jose Pinto Siqueira-Junior ◽  
Jose Maria Barbosa-Filho ◽  
...  
Keyword(s):  
Molecular Properties ◽  
Oxadiazole Derivatives ◽  
Molecular Properties Prediction

Molecular properties prediction, synthesis, and antimicrobial activity of bis(azolyl)sulfonamidoacetamides

2021 ◽  
Author(s):  
Siva sankar P ◽  
Narendra babu K ◽  
Tamatam Rekha ◽  
Adivireddy Padmaja ◽  
Venkatapuram Padmavathi
Keyword(s):  
Antimicrobial Activity ◽  
Molecular Properties ◽  
Molecular Properties Prediction

scholarly journals IN VITRO ANTIMICROBIAL ACTIVITY OF NEW SUBSTITUTED 1,3,4-OXADIAZOLE DERIVATIVES.

2017 ◽  
Vol 5 (5) ◽  
pp. 1468-1474
Author(s):  
Maryam Kouhkan ◽  
◽  
Fatemeh Karimi ◽  
Ali Souldozi ◽  
Jalil Rashedi ◽  
...  
Keyword(s):  
Antimicrobial Activity ◽  
In Vitro Antimicrobial Activity ◽  
Oxadiazole Derivatives

scholarly journals Bayesian semi-supervised learning for uncertainty-calibrated prediction of molecular properties and active learning

2019 ◽  
Vol 10 (35) ◽  
pp. 8154-8163 ◽  
Author(s):  
Yao Zhang ◽  
Alpha A. Lee
Keyword(s):  
Machine Learning ◽  
Active Learning ◽  
Supervised Learning ◽  
Molecular Properties ◽  
Learning Models ◽  
Molecular Properties Prediction ◽  
Design Experiments ◽  
Machine Learning Models

We report a statistically principled method to quantify the uncertainty of machine learning models for molecular properties prediction. We show that this uncertainty estimate can be used to judiciously design experiments.

One-pot, four-component synthesis of 1,3,4-oxadiazole derivatives containing a ferrocene unit and their antimicrobial activity

2015 ◽  
Vol 30 (3) ◽  
pp. 148-153 ◽  
Author(s):  
Ali Reza Kazemizadeh ◽  
Nahid Shajari ◽  
Reza Shapouri ◽  
Neda Adibpour ◽  
Reza Teimuri-Mofrad ◽  
...  
Keyword(s):  
Antimicrobial Activity ◽  
One Pot ◽  
Oxadiazole Derivatives
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