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The 3D-QSAR study of 110 diverse, dual binding, acetylcholinesterase inhibitors based on alignment independent descriptors (GRIND-2). The effects of conformation on predictive power and interpretability of the models.
J Mol Graph Model. 2012 Sep; 38:194-210.JM

Abstract

The 3D-QSAR analysis based on alignment independent descriptors (GRIND-2) was performed on the set of 110 structurally diverse, dual binding AChE reversible inhibitors. Three separate models were built, based on different conformations, generated following next criteria: (i) minimum energy conformations, (ii) conformation most similar to the co-crystalized ligand conformation, and (iii) docked conformation. We found that regardless on conformation used, all the three models had good statistic and predictivity. The models revealed the importance of protonated pyridine nitrogen of tacrine moiety for anti AChE activity, and recognized HBA and HBD interactions as highly important for the potency. This was revealed by the variables associated with protonated pyridinium nitrogen, and the two amino groups of the linker. MIFs calculated with the N1 (pyridinium nitrogen) and the DRY GRID probes in the AChE active site enabled us to establish the relationship between amino acid residues within AChE active site and the variables having high impact on models. External predictive power of the models was tested on the set of 40 AChE reversible inhibitors, most of them structurally different from the training set. Some of those compounds were tested on the different enzyme source. We found that external predictivity was highly sensitive on conformations used. Model based on docked conformations had superior predictive ability, emphasizing the need for the employment of conformations built by taking into account geometrical restrictions of AChE active site gorge.

Authors+Show Affiliations

Military-Technical Institute, Ratka Resanovića 1, Belgrade, Serbia. mvitod@chem.bg.ac.rsNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

23073222

Citation

Vitorović-Todorović, Maja D., et al. "The 3D-QSAR Study of 110 Diverse, Dual Binding, Acetylcholinesterase Inhibitors Based On Alignment Independent Descriptors (GRIND-2). the Effects of Conformation On Predictive Power and Interpretability of the Models." Journal of Molecular Graphics & Modelling, vol. 38, 2012, pp. 194-210.
Vitorović-Todorović MD, Cvijetić IN, Juranić IO, et al. The 3D-QSAR study of 110 diverse, dual binding, acetylcholinesterase inhibitors based on alignment independent descriptors (GRIND-2). The effects of conformation on predictive power and interpretability of the models. J Mol Graph Model. 2012;38:194-210.
Vitorović-Todorović, M. D., Cvijetić, I. N., Juranić, I. O., & Drakulić, B. J. (2012). The 3D-QSAR study of 110 diverse, dual binding, acetylcholinesterase inhibitors based on alignment independent descriptors (GRIND-2). The effects of conformation on predictive power and interpretability of the models. Journal of Molecular Graphics & Modelling, 38, 194-210. https://doi.org/10.1016/j.jmgm.2012.08.001
Vitorović-Todorović MD, et al. The 3D-QSAR Study of 110 Diverse, Dual Binding, Acetylcholinesterase Inhibitors Based On Alignment Independent Descriptors (GRIND-2). the Effects of Conformation On Predictive Power and Interpretability of the Models. J Mol Graph Model. 2012;38:194-210. PubMed PMID: 23073222.
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TY - JOUR T1 - The 3D-QSAR study of 110 diverse, dual binding, acetylcholinesterase inhibitors based on alignment independent descriptors (GRIND-2). The effects of conformation on predictive power and interpretability of the models. AU - Vitorović-Todorović,Maja D, AU - Cvijetić,Ilija N, AU - Juranić,Ivan O, AU - Drakulić,Branko J, Y1 - 2012/09/01/ PY - 2012/04/03/received PY - 2012/07/31/revised PY - 2012/08/01/accepted PY - 2012/10/18/entrez PY - 2012/10/18/pubmed PY - 2013/5/1/medline SP - 194 EP - 210 JF - Journal of molecular graphics & modelling JO - J Mol Graph Model VL - 38 N2 - The 3D-QSAR analysis based on alignment independent descriptors (GRIND-2) was performed on the set of 110 structurally diverse, dual binding AChE reversible inhibitors. Three separate models were built, based on different conformations, generated following next criteria: (i) minimum energy conformations, (ii) conformation most similar to the co-crystalized ligand conformation, and (iii) docked conformation. We found that regardless on conformation used, all the three models had good statistic and predictivity. The models revealed the importance of protonated pyridine nitrogen of tacrine moiety for anti AChE activity, and recognized HBA and HBD interactions as highly important for the potency. This was revealed by the variables associated with protonated pyridinium nitrogen, and the two amino groups of the linker. MIFs calculated with the N1 (pyridinium nitrogen) and the DRY GRID probes in the AChE active site enabled us to establish the relationship between amino acid residues within AChE active site and the variables having high impact on models. External predictive power of the models was tested on the set of 40 AChE reversible inhibitors, most of them structurally different from the training set. Some of those compounds were tested on the different enzyme source. We found that external predictivity was highly sensitive on conformations used. Model based on docked conformations had superior predictive ability, emphasizing the need for the employment of conformations built by taking into account geometrical restrictions of AChE active site gorge. SN - 1873-4243 UR - https://www.unboundmedicine.com/medline/citation/23073222/The_3D_QSAR_study_of_110_diverse_dual_binding_acetylcholinesterase_inhibitors_based_on_alignment_independent_descriptors__GRIND_2___The_effects_of_conformation_on_predictive_power_and_interpretability_of_the_models_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S1093-3263(12)00096-4 DB - PRIME DP - Unbound Medicine ER -