A structure-activity relationship study of catechol-O-methyltransferase inhibitors combining molecular docking and 3D QSAR methods

2003 ◽  
Vol 17 (12) ◽  
pp. 797-810 ◽  
Author(s):  
Anu J. Tervo ◽  
Tommi H. Nyrönen ◽  
Toni Rönkkö ◽  
Antti Poso
2020 ◽  
Vol 17 (2) ◽  
pp. 155-168
Author(s):  
Pavithra K. Balasubramanian ◽  
Anand Balupuri ◽  
Swapnil P. Bhujbal ◽  
Seung Joo Cho

Background: Cardiac troponin I-interacting kinase (TNNI3K) is a cardiac-specific kinase that belongs to MAPKKK family. It is a dual-function kinase with tyrosine and serine/threonine kinase activity. Over-expression of TNNI3K results in various cardiovascular diseases such as cardiomyopathy, ischemia/reperfusion injury, heart failure, etc. Since, it is a cardiac-specific kinase and expressed only in heart tissue, it is an ideal molecular target to treat cardiac diseases. The main objective of the work is to study and understand the structure-activity relationship of the reported deazapurine derivatives and to use the 3D-QSAR and docking results to design potent and novel TNNI3K inhibitors of this series. Methods: In the present study, we have used molecular docking 3D QSAR, and molecular dynamics simulation to understand the structure-activity correlation of reported TNNI3K inhibitors and to design novel compounds of deazapurine derivatives with increased activity. Results: Both CoMFA (q2=0.669, NOC=5, r2=0.944) and CoMSIA (q2=0.783, NOC=5, r2=0.965) have resulted in satisfactory models. The models were validated using external test set, Leave-out- Five, bootstrapping, progressive scrambling, and rm2 metrics calculations. The validation procedures showed the developed models were robust and reliable. The docking results and the contour maps analysis helped in the better understanding of the structure-activity relationship. Conclusion: This is the first report on 3D-QSAR modeling studies of TNNI3K inhibitors. Both docking and MD results were consistent and showed good correlation with the previous experimental data. Based on the information obtained from contour maps, 31 novel TNNI3K inhibitors were designed. These designed compounds showed higher activity than the existing dataset compounds.


2019 ◽  
Vol 9 (1) ◽  
pp. 84-92 ◽  
Author(s):  
Adib Ghaleb ◽  
Adnane Aouidate ◽  
Mohammed Bouachrine ◽  
Tahar Lakhlifi ◽  
Abdelouhid Sbai

Purpose: In this review, a set of aryl halides analogs were identified as potent checkpoint kinase1 (Chk1) inhibitors through a series of computer-aided drug design processes, to develop modelswith good predictive ability, highlight the important interactions between the ligand and theChk1 receptor protein and determine properties of the new proposed drugs as Chk1 inhibitorsagents.Methods: Three-dimensional quantitative structure–activity relationship (3D-QSAR) modeling,molecular docking and absorption, distribution, metabolism, excretion and toxicity (ADMET)approaches are used to determine structure activity relationship and confirm the stableconformation on the receptor pocket.Results: The statistical analysis results of comparative -molecular field analysis (CoMFA) andcomparative molecular similarity indices analysis (CoMSIA) models that employed for a trainingset of 24 compounds gives reliable values of Q2 (0.70 and 0.94, respectively) and R2 (0.68 and0.96, respectively).Conclusion: Computer–aided drug design tools used to develop models that possess goodpredictive ability, and to determine the stability of the observed and predicted molecules in thereceptor pocket, also in silico of pharmacokinetic (ADMET) results shows good properties andbioavailability for these new proposed Chk1 inhibitors agents.


2021 ◽  
Vol 12 (6) ◽  
pp. 8128-8143

A series of bioactive benzimidazoles were theoretically evaluated for their effect against enteroviruses, particularly coxsackievirus B and coxsackievirus A16. The structure-activity relationship allowed to deduce a very efficient model that can be used as a reference for the synthesis of compounds against this type of virus. The model used is essentially based on the RML and NN method, and its validation was carried out using cross-validation. The results obtained by molecular docking and ADMET of compound 9 as an inhibitor of enterovirus A16 give the proposal of the drug of this series.


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