Stepwise development of structure–activity relationship of diverse PARP-1 inhibitors through comparative and validatedin silico modeling techniques and molecular dynamics simulation

2014 ◽  
Vol 33 (8) ◽  
pp. 1756-1779 ◽  
Author(s):  
Amit K. Halder ◽  
Achintya Saha ◽  
Krishna Das Saha ◽  
Tarun Jha
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.


2020 ◽  
Author(s):  
Sumit Kumar ◽  
Prem Prakash Sharma ◽  
Uma Shankar ◽  
Dhruv Kumar ◽  
Sanjeev K Joshi ◽  
...  

<p><br></p> <p>A novel coronavirus, SARS-CoV-2 has caused a recent pandemic called COVID-19 and a severe health threat around the world. In the current situation, the virus is rapidly spreading worldwide, and the discovery of vaccine and potential therapeutics are critically essential. The crystal structure for main protease (M<sup>pro</sup>) of SARS-CoV-2, 3-chymotrypsin-like cysteine protease (3CL<sup>pro</sup>) was recently made available and is considerably similar to previously reported SARS-CoV. Due to its essentiality in viral replication, it represents a potential drug target. Herein, computer-aided drug design (CADD) approach was implemented for the initial screening of 13 approved antiviral drugs. Molecular docking of 13 antivirals against 3-chymotrypsin-like cysteine protease (3CL<sup>pro</sup>) enzyme was accomplished and indinavir was described as a lead drug with a docking score of -8.824 and a XP Gscore of -9.466 kcal/mol. Indinavir possesses an important pharmacophore, hydroxyethylamine (HEA), and thus a new library of HEA compounds (>2500) was subjected to virtual screening that led to 25 hits with a docking score more than indinavir. Exclusively, compound <b>16</b> with docking score of -8.955 adhered to drug like parameters, and the Structure-Activity Relationship (SAR) analysis was demonstrated to highlight the importance of chemical scaffolds therein. Molecular Dynamics (MD) simulation studies carried out at 100ns supported the stability of <b>16</b> within the binding pocket. Largly, our results supported that this novel compound <b>16</b> binds to the domain I & II, and domain II-III linker of 3CL<sup>pro</sup> protein, suggesting its suitablity as strong candidate for therapeutic discovery against COVID-19. Lead compound <b>16</b> could pave incredible directions for the design of novel 3CL<sup>pro</sup> inhibitors and ultimately therapeutics against COVID-19 disease.</p> <p><br></p> <p> </p>


Molecules ◽  
2019 ◽  
Vol 24 (24) ◽  
pp. 4479
Author(s):  
Yongtao Xu ◽  
Zihao He ◽  
Min Yang ◽  
Yunlong Gao ◽  
Linfeng Jin ◽  
...  

Overexpression of lysine specific demethylase 1 (LSD1) has been found in many cancers. New anticancer drugs targeting LSD1 have been designed. The research on irreversible LSD1 inhibitors has entered the clinical stage, while the research on reversible LSD1 inhibitors has progressed slowly so far. In this study, 41 stilbene derivatives were studied as reversible inhibitors by three-dimensional quantitative structure–activity relationship (3D-QSAR). Comparative molecular field analysis (CoMFA q 2 = 0.623, r 2 = 0.987, r pred 2 = 0.857) and comparative molecular similarity indices analysis (CoMSIA q 2 = 0.728, r 2 = 0.960, r pred 2 = 0.899) were used to establish the model, and the structure–activity relationship of the compounds was explained by the contour maps. The binding site was predicted by two different kinds of software, and the binding modes of the compounds were further explored. A series of key amino acids Val288, Ser289, Gly314, Thr624, Lys661 were found to play a key role in the activity of the compounds. Molecular dynamics (MD) simulations were carried out for compounds 04, 17, 21, and 35, which had different activities. The reasons for the activity differences were explained by the interaction between compounds and LSD1. The binding free energy was calculated by molecular mechanics generalized Born surface area (MM/GBSA). We hope that this research will provide valuable information for the design of new reversible LSD1 inhibitors in the future.


2020 ◽  
Author(s):  
Sumit Kumar ◽  
Prem Prakash Sharma ◽  
Uma Shankar ◽  
Dhruv Kumar ◽  
Sanjeev K Joshi ◽  
...  

<p><br></p> <p>A novel coronavirus, SARS-CoV-2 has caused a recent pandemic called COVID-19 and a severe health threat around the world. In the current situation, the virus is rapidly spreading worldwide, and the discovery of vaccine and potential therapeutics are critically essential. The crystal structure for main protease (M<sup>pro</sup>) of SARS-CoV-2, 3-chymotrypsin-like cysteine protease (3CL<sup>pro</sup>) was recently made available and is considerably similar to previously reported SARS-CoV. Due to its essentiality in viral replication, it represents a potential drug target. Herein, computer-aided drug design (CADD) approach was implemented for the initial screening of 13 approved antiviral drugs. Molecular docking of 13 antivirals against 3-chymotrypsin-like cysteine protease (3CL<sup>pro</sup>) enzyme was accomplished and indinavir was described as a lead drug with a docking score of -8.824 and a XP Gscore of -9.466 kcal/mol. Indinavir possesses an important pharmacophore, hydroxyethylamine (HEA), and thus a new library of HEA compounds (>2500) was subjected to virtual screening that led to 25 hits with a docking score more than indinavir. Exclusively, compound <b>16</b> with docking score of -8.955 adhered to drug like parameters, and the Structure-Activity Relationship (SAR) analysis was demonstrated to highlight the importance of chemical scaffolds therein. Molecular Dynamics (MD) simulation studies carried out at 100ns supported the stability of <b>16</b> within the binding pocket. Largly, our results supported that this novel compound <b>16</b> binds to the domain I & II, and domain II-III linker of 3CL<sup>pro</sup> protein, suggesting its suitablity as strong candidate for therapeutic discovery against COVID-19. Lead compound <b>16</b> could pave incredible directions for the design of novel 3CL<sup>pro</sup> inhibitors and ultimately therapeutics against COVID-19 disease.</p> <p><br></p> <p> </p>


Planta Medica ◽  
2008 ◽  
Vol 74 (09) ◽  
Author(s):  
MA Brenzan ◽  
CV Nakamura ◽  
BPD Filho ◽  
T Ueda-Nakamura ◽  
MCM Young ◽  
...  

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