Development of prediction model for fructose- 1,6- bisphosphatase inhibitors using the Monte Carlo method-Reference-Cited by-同舟云学术

Development of prediction model for fructose- 1,6- bisphosphatase inhibitors using the Monte Carlo method

Published:2019-02-19 Issue:3 Volume:30 Page:145-159
ISSN:1062-936X
Container-title:SAR and QSAR in Environmental Research
language:en
Short-container-title:SAR and QSAR in Environmental Research

Author:

Manisha ¹,Chauhan S.¹,Kumar P.²,Kumar A.¹

Affiliation:

1. Department of Pharmaceutical Sciences, Guru Jambheshwar University of Science & Technology, Hisar, India

2. Department of Chemistry, Kurukshetra University, Kurukshetra, India.

Publisher

Informa UK Limited

Subject

Drug Discovery,Molecular Medicine,General Medicine,Bioengineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/1062936X.2019.1568299

Reference49 articles.

1. Discovery of Potent and Specific Fructose-1,6-Bisphosphatase Inhibitors and a Series of Orally-Bioavailable Phosphoramidase-Sensitive Prodrugs for the Treatment of Type 2 Diabetes

2. A library of novel allosteric inhibitors against fructose 1,6-bisphosphatase

3. Q. Dang, B.S. Brown, Y. Liu, R.M. Rydzewski, E.D. Robinson, P.D.V. Poelje, M.R. Reddy, and M.D. Erion, Fructose-1,6-bisphosphatase inhibitors. 1. Purine phosphonic acids as novel AMP mimics, J. Med. Chem. 52 (2009), pp. 2880–2898.

4. Discovery of novel indole derivatives as allosteric inhibitors of fructose-1,6-bisphosphatase

Cited by 51 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. In silico development of novel angiotensin-converting-enzyme-I inhibitors by Monte Carlo optimization based QSAR modeling, molecular docking studies and ADMET predictions;Computational Biology and Chemistry;2024-10

2. Multicellular target QSAR models for predicting of novel inhibitors against pancreatic cancer by Monte Carlo approach;Results in Chemistry;2024-08

3. Correlation intensity index-index of ideality of correlation: A hyphenated target function for furtherance of MAO-B inhibitory activity assessment;Computational Biology and Chemistry;2024-02

4. Analysis of good and bad fingerprint for identification of NIR based optical frameworks using Monte Carlo method;Microchemical Journal;2024-01

5. Development of QSAR Model Based on Monte Carlo Optimization for Predicting GABAA Receptor Binding of Newly Emerging Benzodiazepines;Acta Chimica Slovenica;2023-12-20