An insight QSPR-based prediction model for stability constants of metal-thiosemicarbazone complexes using MLR and ANN methods-Reference-Cited by-同舟云学术

An insight QSPR-based prediction model for stability constants of metal-thiosemicarbazone complexes using MLR and ANN methods

Published:2019-08 Issue:4 Volume:57 Page:500-506
ISSN:0866-7144
Container-title:Vietnam Journal of Chemistry
language:en
Short-container-title:VJCH

Author:

Quang Nguyen Minh¹²,Nhung Nguyen Thi Ai¹,Van Tat Pham³

Affiliation:

1. Department of Chemistry; Hue University of Sciences, Hue University, 77 Nguyen Hue; Hue City 530000 Viet Nam

2. Faculty of Chemical Engineering; Industrial University of Ho Chi Minh City, 12 Nguyen Van Bao, Go Vap; Ho Chi Minh City 700000 Viet Nam

3. Faculty of Science and Engineering; Hoa Sen University, Ro. A103, lot 10, Quang Trung Software City, Tan Chanh Hiep W., District 12; Ho Chi Minh City 700000 Viet Nam

Publisher

Wiley

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/vjch.201900070/fullpdf

Reference30 articles.

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2. Optimization of parameters for semiempirical methods VI: more modifications to the NDDO approximations and re-optimization of parameters;Stewart;J. Mol Model,2013

3. Bonding and structure trends of thiosemicarbazone derivatives of metals - An overview;Lobana;Coord. Chem. Rev.,2009

4. Review: Metal complexes of thiosemicarbazones for imaging and therapy;Dilworth;Inorg. Chim. Acta,2012

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