scholarly journals 1,2-Αnnulated Adamantane Heterocyclic Derivatives as Anti-Influenza Α Virus Agents

2019 ◽  
Vol 92 (2) ◽  
pp. 211-228 ◽  
Author(s):  
Vasiliki Pardali ◽  
Erofili Giannakopoulou ◽  
Athina Konstantinidi ◽  
Antonios Kolocouris ◽  
Grigoris Zoidis
Keyword(s):  
Molecular Dynamics ◽  
Influenza A ◽  
Md Simulations ◽  
Biological Evaluation ◽  
Propanoic Acid ◽  
M2 Protein ◽  
Additional Insight ◽  
Structure Activity ◽  
Heterocyclic Derivatives ◽  
Pharmacological Potential

In this report we review our results on the development of 1,2-annulated adamantane heterocyclic derivatives and we discuss the structure-activity relationships obtained from their biological evaluation against influenza A virus. We have designed and synthesized numerous potent 1,2-annulated adamantane analogues of amantadine and rimantadine against influenza A targeting M2 protein the last 20 years. For their synthesis we utilized the key intermediates 2-(2-oxoadamantan-1-yl)acetic acid and 3-(2-oxoadamantan-1-yl)propanoic acid, which were obtained by a simple, fast and efficient synthetic protocol. The latter involved the treatment of protoadamantanone with different electrophiles and a carbon-skeleton rearrangement. These ketoesters offered a new pathway to the synthesis of 1,2-disubstituted adamantanes, which constitute starting materials for many molecules with pharmacological potential, such as the 1,2-annulated adamantane heterocyclic derivatives. To obtain additional insight for their binding to M2 protein three structurally similar 1,2-annulated adamantane piperidines, differing in nitrogen position, were studied using molecular dynamics (MD) simulations in palmitoyl-oleoyl-phosphatidyl-choline (POPC) hydrated bilayers.

scholarly journals Virtual Screening and Molecular Dynamics Simulation Study of Influenza Polymerase PB2 Inhibitors

Molecules ◽  
2021 ◽  
Vol 26 (22) ◽  
pp. 6944
Author(s):  
Keli Zong ◽  
Lei Xu ◽  
Yuxin Hou ◽  
Qian Zhang ◽  
Jinjing Che ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Virtual Screening ◽  
Influenza A ◽  
Md Simulations ◽  
Biological Evaluation ◽  
Dynamics Simulation ◽  
Binding Modes ◽  
Active Compounds ◽  
Binding Characteristics ◽  
Glide Docking

Influenza A virus is the main cause of worldwide epidemics and annual influenza outbreaks in humans. In this study, a virtual screen was performed to identify compounds that interact with the PB2 cap-binding domain (CBD) of influenza A polymerase. A virtual screening workflow based on Glide docking was used to screen an internal database containing 8417 molecules, and then the output compounds were selected based on solubility, absorbance, and structural fingerprints. Of the 16 compounds selected for biological evaluation, six compounds were identified that rescued cells from H1N1 virus-mediated death at non-cytotoxic concentrations, with EC50 values ranging from 2.5–55.43 μM, and that could bind to the PB2 CBD of H1N1, with Kd values ranging from 0.081–1.53 μM. Molecular dynamics (MD) simulations of the docking complexes of our active compounds revealed that each compound had its own binding characteristics that differed from those of VX-787. Our active compounds have novel structures and unique binding modes with PB2 proteins, and are suitable to serve as lead compounds for the development of PB2 inhibitors. An analysis of the MD simulation also helped us to identify the dominant amino acid residues that play a key role in binding the ligand to PB2, suggesting that we should focus on increasing and enhancing the interaction between inhibitors and these major amino acids during lead compound optimization to obtain more active PB2 inhibitors.

Spotting Differences in Molecular Dynamic Simulations of Influenza A M2 Protein-Ligand Complexes by Varying M2 construct, Lipid Bilayer and Force Field

2019 ◽  
Author(s):  
Dimitrios Kolokouris ◽  
Iris Kalenderoglou ◽  
Panagiotis Lagarias ◽  
Antonios Kolocouris
Keyword(s):  
Molecular Dynamic ◽  
Lipid Bilayer ◽  
Influenza A ◽  
Md Simulations ◽  
Membrane Curvature ◽  
Buffer Size ◽  
M2 Protein ◽  
Dynamic Simulations ◽  
Amphipathic Helices ◽  
Drug Protein Binding

<p>We studied by molecular dynamic (MD) simulations systems including the inward<sub>closed</sub> state of influenza A M2 protein in complex with aminoadamantane drugs in membrane bilayers. We varied the M2 construct and performed MD simulations in M2TM or M2TM with amphipathic helices (M2AH). We also varied the lipid bilayer by changing either the lipid, DMPC or POPC, POPE or POPC/cholesterol (chol), or the lipids buffer size, 10x10 Å<sup>2 </sup>or 20x20 Å<sup>2</sup>. We aimed to suggest optimal system conditions for the computational description of this ion channel and related systems. Measures performed include quantities that are available experimentally and include: (a) the position of ligand, waters and chlorine anion inside the M2 pore, (b) the passage of waters from the outward Val27 gate of M2 S31N in complex with an aminoadamantane-aryl head blocker, (c) M2 orientation, (d) the AHs conformation and structure which is affected from interactions with lipids and chol and is important for membrane curvature and virus budding. In several cases we tested OPLS2005, which is routinely applied to describe drug-protein binding, and CHARMM36 which describes reliably protein conformation. We found that for the description of the ligands position inside the M2 pore, a 10x10 Å<sup>2</sup> lipids buffer in DMPC is needed when M2TM is used but 20x20 Å<sup>2</sup> lipids buffer of the softer POPC; when M2AH is used all 10x10 Å<sup>2</sup> lipid buffers with any of the tested lipids can be used. For the passage of waters at least M2AH with a 10x10 Å<sup>2</sup> lipid buffer is needed. The folding conformation of AHs which is defined from hydrogen bonding interactions with the bilayer and the complex with chol is described well with a 10x10 Å<sup>2</sup> lipids buffer and CHARMM36. </p>

Spotting Differences in Molecular Dynamic Simulations of Influenza A M2 Protein-Ligand Complexes by Varying M2 construct, Lipid Bilayer and Force Field

2019 ◽  
Author(s):  
Dimitrios Kolokouris ◽  
Iris Kalenderoglou ◽  
Panagiotis Lagarias ◽  
Antonios Kolocouris
Keyword(s):  
Molecular Dynamic ◽  
Lipid Bilayer ◽  
Influenza A ◽  
Md Simulations ◽  
Membrane Curvature ◽  
Buffer Size ◽  
M2 Protein ◽  
Dynamic Simulations ◽  
Amphipathic Helices ◽  
Drug Protein Binding

<p>We studied by molecular dynamic (MD) simulations systems including the inward<sub>closed</sub> state of influenza A M2 protein in complex with aminoadamantane drugs in membrane bilayers. We varied the M2 construct and performed MD simulations in M2TM or M2TM with amphipathic helices (M2AH). We also varied the lipid bilayer by changing either the lipid, DMPC or POPC, POPE or POPC/cholesterol (chol), or the lipids buffer size, 10x10 Å<sup>2 </sup>or 20x20 Å<sup>2</sup>. We aimed to suggest optimal system conditions for the computational description of this ion channel and related systems. Measures performed include quantities that are available experimentally and include: (a) the position of ligand, waters and chlorine anion inside the M2 pore, (b) the passage of waters from the outward Val27 gate of M2 S31N in complex with an aminoadamantane-aryl head blocker, (c) M2 orientation, (d) the AHs conformation and structure which is affected from interactions with lipids and chol and is important for membrane curvature and virus budding. In several cases we tested OPLS2005, which is routinely applied to describe drug-protein binding, and CHARMM36 which describes reliably protein conformation. We found that for the description of the ligands position inside the M2 pore, a 10x10 Å<sup>2</sup> lipids buffer in DMPC is needed when M2TM is used but 20x20 Å<sup>2</sup> lipids buffer of the softer POPC; when M2AH is used all 10x10 Å<sup>2</sup> lipid buffers with any of the tested lipids can be used. For the passage of waters at least M2AH with a 10x10 Å<sup>2</sup> lipid buffer is needed. The folding conformation of AHs which is defined from hydrogen bonding interactions with the bilayer and the complex with chol is described well with a 10x10 Å<sup>2</sup> lipids buffer and CHARMM36. </p>

scholarly journals Docking and Molecular Dynamics (MD) Simulations in Potential Drugs Discovery: An Application to Influenza Virus M2 Protein

2014 ◽  
Vol 10 (3) ◽  
pp. 180-188 ◽  
Author(s):  
Marine E. Bozdaganyan ◽  
Philipp S. Orekhov ◽  
Nicola L. Bragazzi ◽  
Donatella Panatto ◽  
Daniela Amicizia ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Influenza Virus ◽  
Md Simulations ◽  
M2 Protein

EXPLORING THE MOLECULAR BASIS OF H5N1 HEMAGGLUTININ BINDING WITH CATECHINS IN GREEN TEA: A FLEXIBLE DOCKING AND MOLECULAR DYNAMICS STUDY

2012 ◽  
Vol 11 (01) ◽  
pp. 111-125 ◽  
Author(s):  
JUNXING LIU ◽  
ZHIWEI YANG ◽  
SHUQIU WANG ◽  
LEI LIU ◽  
GUANG CHEN ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Functional Groups ◽  
Influenza A ◽  
Epigallocatechin Gallate ◽  
Md Simulations ◽  
Interaction Energies ◽  
Flexible Docking ◽  
Epicatechin Gallate ◽  
Inhibitory Activities ◽  
Near Future

The influenza A (H5N1) virus attracts a worldwide attention and calls for the urgent development of novel antiviral drugs. In this study, explicitly solvated flexible docking and molecular dynamics (MD) simulations were used to study the interactions between the H5N1 sub-type hemagglutinin (HA) and various catechin compounds, including EC ([–]-epicatechin), EGC ([–]-epigallocatechin), ECG ([–]-epicatechin gallate) and EGCG ([–]-epigallocatechin gallate). The four compounds have respective binding specificities and their interaction energies with HA decrease in the order of EGCG (-133.52) > ECG (-111.11) > EGC (-97.94) > EC (-83.39). Units in kcal mol-1. Residues IleA267, LysA269, ArgB68 and GluB78 play important roles during all the binding processes. EGCG has the best bioactivity and shows potential as a lead compound. Besides, the importance was clarified for the functional groups it was revealed that the C5′ hydroxyl and trihydroxybenzoic acid groups are crucial for the catechin inhibitory activities, especially the latter. Combined with the structural and property analyses, this work also proposed the way to effectively modify the functional groups of EGCG. The experimental efforts are expected in order to actualize the catechin derivatives as novel anti-influenza agents in the near future.

scholarly journals KEAP1 Cancer Mutants: A Large-Scale Molecular Dynamics Study of Protein Stability

2021 ◽  
Vol 22 (10) ◽  
pp. 5408
Author(s):  
Carter Wilson ◽  
Megan Chang ◽  
Mikko Karttunen ◽  
Wing-Yiu Choy
Keyword(s):  
Molecular Dynamics ◽  
Large Scale ◽  
Md Simulations ◽  
Covalent Modification ◽  
Additional Insight ◽  
New Class ◽  
Kelch Domain ◽  
Cancer Mutations ◽  
Mutagenic Effects ◽  
Insight Into

We have performed 280 μs of unbiased molecular dynamics (MD) simulations to investigate the effects of 12 different cancer mutations on Kelch-like ECH-associated protein 1 (KEAP1) (G333C, G350S, G364C, G379D, R413L, R415G, A427V, G430C, R470C, R470H, R470S and G476R), one of the frequently mutated proteins in lung cancer. The aim was to provide structural insight into the effects of these mutants, including a new class of ANCHOR (additionally NRF2-complexed hypomorph) mutant variants. Our work provides additional insight into the structural dynamics of mutants that could not be analyzed experimentally, painting a more complete picture of their mutagenic effects. Notably, blade-wise analysis of the Kelch domain points to stability as a possible target of cancer in KEAP1. Interestingly, structural analysis of the R470C ANCHOR mutant, the most prevalent missense mutation in KEAP1, revealed no significant change in structural stability or NRF2 binding site dynamics, possibly indicating an covalent modification as this mutant’s mode of action.

scholarly journals Peptide Terminus Tilting: an Unusual conformational transition of MHC Class I Revealed by Molecular Dynamics Simulations

2017 ◽  
Author(s):  
Yeping Sun ◽  
Po Tian
Keyword(s):  
Molecular Dynamics ◽  
Antigen Presentation ◽  
Influenza A ◽  
Conformational Transition ◽  
Md Simulations ◽  
Lymphocytic Choriomeningitis ◽  
Class I ◽  
Accelerated Molecular Dynamics ◽  
Binding Pockets ◽  
Dynamics Simulations

ABSTRACTA conventional picture for major histocompatibility complex class I (MHCI) antigen presentation is that the terminal anchor residues of the antigenic peptide bind to the pockets at the bottom of the MHC cleft, leaving the central peptide residues exposed for T cell antigen receptor (TCR) recognition. However, in the present study, we show that in canonical or accelerated molecular dynamics (MD) simulations, the peptide terminus in some immunodominant peptide-MHCI (pMHCI) complexes can detach from their binding pockets and stretch outside the MHC cleft. These pMHCI complexes include the complex of the H-2Kb and the lymphocytic choriomeningitis virus (LCMV) gp33 peptide, and the complex of the HLA-A*0201 and the influenza A virus M1 peptide. The detached peptide terminus becomes the most prominent spot at the pMHC interface, and so can serves as a novel TCR recognition target. Thus, peptide terminus detaching may be a novel mechanism for MHC antigen presentation.

scholarly journals 3D-QSAR, Molecular Docking, and MD Simulations of Anthraquinone Derivatives as PGAM1 Inhibitors

2021 ◽  
Vol 12 ◽  
Author(s):  
Yuwei Wang ◽  
Yifan Guo ◽  
Shaojia Qiang ◽  
Ruyi Jin ◽  
Zhi Li ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Rational Design ◽  
Binding Free Energy ◽  
3D Qsar ◽  
Md Simulations ◽  
Structure Activity Relationships ◽  
Structure Activity ◽  
Wide Range ◽  
Anthraquinone Derivatives

PGAM1 is overexpressed in a wide range of cancers, thereby promoting cancer cell proliferation and tumor growth, so it is gradually becoming an attractive target. Recently, a series of inhibitors with various structures targeting PGAM1 have been reported, particularly anthraquinone derivatives. In present study, the structure–activity relationships and binding mode of a series of anthraquinone derivatives were probed using three-dimensional quantitative structure–activity relationships (3D-QSAR), molecular docking, and molecular dynamics (MD) simulations. Comparative molecular field analysis (CoMFA, r2 = 0.97, q2 = 0.81) and comparative molecular similarity indices analysis (CoMSIA, r2 = 0.96, q2 = 0.82) techniques were performed to produce 3D-QSAR models, which demonstrated satisfactory results, especially for the good predictive abilities. In addition, molecular dynamics (MD) simulations technology was employed to understand the key residues and the dominated interaction between PGAM1 and inhibitors. The decomposition of binding free energy indicated that the residues of F22, K100, V112, W115, and R116 play a vital role during the ligand binding process. The hydrogen bond analysis showed that R90, W115, and R116 form stable hydrogen bonds with PGAM1 inhibitors. Based on the above results, 7 anthraquinone compounds were designed and exhibited the expected predictive activity. The study explored the structure–activity relationships of anthraquinone compounds through 3D-QSAR and molecular dynamics simulations and provided theoretical guidance for the rational design of new anthraquinone derivatives as PGAM1 inhibitors.

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