In silico binding free energy predictability with π–π interaction energy-augmented scoring function: Benzimidazole Raf inhibitors as a case study

2012 ◽  
Vol 22 (9) ◽  
pp. 3278-3283 ◽  
Author(s):  
Jae Yoon Chung ◽  
Seung Joo Cho ◽  
Art E. Cho ◽  
Jung-Mi Hah
Keyword(s):  
Free Energy ◽  
Interaction Energy ◽  
In Silico ◽  
Binding Free Energy ◽  
Scoring Function

An In-Silico Approach to Evaluate the Inhibitory Potency of Selected Hydroxamic Acid Derivatives on Zinc-Dependent Histone Deacetylase Enzyme

2021 ◽  
Vol 20 (06) ◽  
pp. 603-618
Author(s):  
R. Dushanan ◽  
S. Weerasinghe ◽  
D. P. Dissanayake ◽  
R. Senthilnithy
Keyword(s):  
Free Energy ◽  
Interaction Energy ◽  
Histone Deacetylase ◽  
In Silico ◽  
Hydroxamic Acid ◽  
Binding Free Energy ◽  
Hdac Inhibitors ◽  
Drug Binding ◽  
The Body ◽  
Energy Formula

Histone deacetylase (HDAC) enzymes modify the histone by removing the acetyl group from the lysine residues, known as histone deacetylation. HDACs have been involved in altering gene expressions, resulting in cancer cells in the body. This study focuses on HDAC inhibitors’ impact on histone deacetylase-like protein (HDLP) stability through computational techniques. Molecular dynamics (MD) analyses were used to examine the atomic-level description of drug binding sites and how the HDAC inhibitors change the HDLP enzyme environment. In this study, two hydroxamic acid-derived inhibitors, such as [Formula: see text]-Carboxycinnamic acid bis-hydroxamide (CBHA) and scriptaid (GCK1026), were selected to examine the inhibition ability in terms with suberanilohydroxamic acid (SAHA) as a reference drug. The crystal structure of the HDLP was downloaded from the Protein Data Bank. The structures of inhibitors were optimized using the G09W package. Docking studies were done by AutoDock-Vina, and the resultant complex was used to initiate MD studies. The trajectories obtained from MD simulation were used to perform the structural analysis. Root-mean-square deviation (RMSD), radius of gyration, hydrogen bond, binding free energy and interaction energy studies revealed that the stability of HDLP-SAHA and HDLP-CBHA is higher than the free HDLP enzyme. The HDLP-CBHA complex shows an increased number of hydrogen bonds (5), high MM-PBSA binding free energy ([Formula: see text][Formula: see text]kJ/mol), high interaction energy ([Formula: see text][Formula: see text]kJ/mol), and an increased number of alpha-helical amino acids (130) compared with HDLP-SAHA. It concluded that the CBHA has the relatively same potential as SAHA to inhibit the HDLP. Consequently, the use of CBHA in clinical application is recommended through this in-silico method.

scholarly journals Structural and Energetic Affinity of Annocatacin B with ND1 Subunit of the Human Mitochondrial Respiratory Complex I as a Potential Inhibitor: An In Silico Comparison Study with the Known Inhibitor Rotenone

Polymers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1840
Author(s):  
Camilo Febres-Molina ◽  
Jorge A. Aguilar-Pineda ◽  
Pamela L. Gamero-Begazo ◽  
Haruna L. Barazorda-Ccahuana ◽  
Diego E. Valencia ◽  
...  
Keyword(s):  
Free Energy ◽  
In Silico ◽  
Complex I ◽  
Binding Free Energy ◽  
Biological Activities ◽  
Experimental Studies ◽  
Respiratory Complex ◽  
Mitochondrial Respiratory Complex ◽  
Respiratory Complex I ◽  
Mitochondrial Respiratory

ND1 subunit possesses the majority of the inhibitor binding domain of the human mitochondrial respiratory complex I. This is an attractive target for the search for new inhibitors that seek mitochondrial dysfunction. It is known, from in vitro experiments, that some metabolites from Annona muricata called acetogenins have important biological activities, such as anticancer, antiparasitic, and insecticide. Previous studies propose an inhibitory activity of bovine mitochondrial respiratory complex I by bis-tetrahydrofurans acetogenins such as annocatacin B, however, there are few studies on its inhibitory effect on human mitochondrial respiratory complex I. In this work, we evaluate the in silico molecular and energetic affinity of the annocatacin B molecule with the human ND1 subunit in order to elucidate its potential capacity to be a good inhibitor of this subunit. For this purpose, quantum mechanical optimizations, molecular dynamics simulations and the molecular mechanics/Poisson–Boltzmann surface area (MM/PBSA) analysis were performed. As a control to compare our outcomes, the molecule rotenone, which is a known mitochondrial respiratory complex I inhibitor, was chosen. Our results show that annocatacin B has a greater affinity for the ND1 structure, its size and folding were probably the main characteristics that contributed to stabilize the molecular complex. Furthermore, the MM/PBSA calculations showed a 35% stronger binding free energy compared to the rotenone complex. Detailed analysis of the binding free energy shows that the aliphatic chains of annocatacin B play a key role in molecular coupling by distributing favorable interactions throughout the major part of the ND1 structure. These results are consistent with experimental studies that mention that acetogenins may be good inhibitors of the mitochondrial respiratory complex I.

scholarly journals Three Alkaloids from an Apocynaceae Species, Aspidosperma spruceanum as Antileishmaniasis Agents by In Silico Demo-case Studies

Plants ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 983 ◽  
Author(s):  
Diana Morales-Jadán ◽  
José Blanco-Salas ◽  
Trinidad Ruiz-Téllez ◽  
Francisco Centeno
Keyword(s):  
Free Energy ◽  
Active Site ◽  
In Silico ◽  
Binding Free Energy ◽  
New Drugs ◽  
Neglected Tropical Disease ◽  
Physiological Importance ◽  
Promising Tool ◽  
Binding Pockets ◽  
Simulation Results

This paper is focused on demonstrating with a real case that Ethnobotany added to Bioinformatics is a promising tool for new drugs search. It encourages the in silico investigation of “challua kaspi”, a medicinal kichwa Amazonian plant (Aspidosperma spruceanum) against a Neglected Tropical Disease, leishmaniasis. The illness affects over 150 million people especially in subtropical regions, there is no vaccination and conventional treatments are unsatisfactory. In attempts to find potent and safe inhibitors of its etiological agent, Leishmania, we recovered the published traditional knowledge on kichwa antimalarials and selected three A. spruceanum alkaloids, (aspidoalbine, aspidocarpine and tubotaiwine), to evaluate by molecular docking their activity upon five Leishmania targets: DHFR-TS, PTR1, PK, HGPRT and SQS enzymes. Our simulation results suggest that aspidoalbine interacts competitively with the five targets, with a greater affinity for the active site of PTR1 than some physiological ligands. Our virtual data also point to the demonstration of few side effects. The predicted binding free energy has a greater affinity to Leishmania proteins than to their homologous in humans (TS, DHR, PKLR, HGPRT and SQS), and there is no match with binding pockets of physiological importance. Keys for the in silico protocols applied are included in order to offer a standardized method replicable in other cases. Apocynaceae having ethnobotanical use can be virtually tested as molecular antileishmaniasis new drugs.

In-silico Design, ADMET Screening, MM-GBSA Binding Free Energy of Some Novel Isoxazole Substituted 9-Anilinoacridines as HER2 Inhibitors Targeting Breast Cancer

2019 ◽  
Vol 11 (2) ◽  
pp. 118-128 ◽  
Author(s):  
Rajagopal Kalirajan ◽  
Arumugasamy Pandiselvi ◽  
Byran Gowramma ◽  
Pandiyan Balachandran
Keyword(s):  
Breast Cancer ◽  
Free Energy ◽  
In Silico ◽  
Therapeutic Potential ◽  
Binding Free Energy ◽  
Breast Cancers ◽  
Molecular Docking Study ◽  
In Silico Admet

Background: Human Epidermal development factor Receptor-2 (HER2) is a membrane tyrosine kinase which is overexpressed and gene amplified in human breast cancers. HER2 amplification and overexpression have been linked to important tumor cell proliferation and survival pathways for 20% of instances of breast cancer. 9-aminoacridines are significant DNA-intercalating agents because of their antiproliferative properties. Objective: Some novel isoxazole substituted 9-anilinoacridines(1a-z) were designed by in-silico technique for their HER2 inhibitory activity. Docking investigations of compounds 1a-z are performed against HER2 (PDB id-3PP0) by using Schrodinger suit 2016-2. Methods: Molecular docking study for the designed molecules 1a-z are performed by Glide module, in-silico ADMET screening by QikProp module and binding free energy by Prime-MMGBSA module of Schrodinger suit. The binding affinity of designed molecules 1a-z towards HER2 was chosen based on GLIDE score. Results: Many compounds showed good hydrophobic communications and hydrogen bonding associations to hinder HER2. The compounds 1a-z, aside from 1z have significant Glide scores in the scope of - 4.91 to - 10.59 when compared with the standard Ethacridine (- 4.23) and Tamoxifen (- 3.78). The in-silico ADMET properties are inside the suggested about drug likeness. MM-GBSA binding of the most intense inhibitor is positive. Conclusion: The outcomes reveal that this study provides evidence for the consideration of isoxazole substituted 9-aminoacridine derivatives as potential HER2 inhibitors. The compounds, 1s,x,v,a,j,r with significant Glide scores may produce significant anti breast cancer activity and further in vitro and in vivo investigations may prove their therapeutic potential.

scholarly journals Identification of promising drug candidates against Non-Structural Protein 15 (NSP15) from SARS-CoV-2: an in silico assisted drug-repurposing studies

2020 ◽  
Author(s):  
Rameez Jabeer Khan ◽  
Rajat Kumar Jha ◽  
Ekampreet Singh ◽  
Monika Jain ◽  
Gizachew Muluneh Amera ◽  
...  
Keyword(s):  
Free Energy ◽  
In Silico ◽  
Binding Free Energy ◽  
Drug Repurposing ◽  
Md Simulations ◽  
Therapeutic Agents ◽  
Global Dynamics ◽  
Host Immune System ◽  
Structural Protein ◽  
Drug Candidates

<div>The recent COVID-19 pandemic caused by SARS-CoV-2 has recorded a high number of infected people across the globe. The notorious nature of the virus makes it necessary for us to identify promising therapeutic agents in a time-sensitive manner. The current study utilises an <i>in silico</i> based drug repurposing approach to identify potential drug candidates targeting non-structural protein 15 (NSP15), i.e. a uridylate specific endoribonuclease of SARS-CoV-2</div><div>which plays an indispensable role in RNA processing and viral immune evasion from the host immune system. NSP15 was screened against an in-house library of 123 antiviral drugs obtained from the DrugBank database from which three promising drug candidates were identified based on their estimated free energy of binding (<i>ΔG</i>), estimated inhibition constant (<i>Ki</i>), the orientation of drug molecules in the active site and the key interacting residues of</div><div>NSP15. The MD simulations were performed for the selected NSP15-drug complexes along with free protein to mimic on their physiological state. The binding free energies of the selected NSP15-drug complexes were also calculated using the trajectories of MD simulations of NSP15-drug complexes through MM/PBSA (Molecular Mechanics with Poisson-Boltzmann and surface area solvation) approach where NSP15-Simeprevir (-242.559 kJ/mol) and NSP15-Paritaprevir (-149.557 kJ/mol) exhibited the strongest binding affinities. Together with the results of molecular docking, global dynamics, essential dynamics and binding free energy analysis, we propose that Simeprevir and Paritaprevir are promising drug candidates for the inhibition of NSP15 and could act as potential therapeutic agents against SARS-CoV-2.</div>

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