scholarly journals Exploration of Enzyme—Ligand Interactions in CYP2D6 & 3A4 Homology Models and Crystal Structures Using a Novel Computational Approach.

ChemInform ◽  
2007 ◽  
Vol 38 (34) ◽  
Author(s):  
Britta Kjellander ◽  
Collen M. Masimirembwa ◽  
Ismael Zamora
2011 ◽  
Vol 25 (6) ◽  
pp. 1894-1902 ◽  
Author(s):  
Lianming Liang ◽  
Shuqun Liu ◽  
Jinkui Yang ◽  
Zhaohui Meng ◽  
Liping Lei ◽  
...  

2018 ◽  
Vol 211 ◽  
pp. 383-399 ◽  
Author(s):  
David P. McMahon ◽  
Andrew Stephenson ◽  
Samantha Y. Chong ◽  
Marc A. Little ◽  
James T. A. Jones ◽  
...  

A computational approach has been developed to assess the effect of solvent stabilisation on the predicted crystal structures of a porous organic cage.


F1000Research ◽  
2016 ◽  
Vol 5 ◽  
pp. 275 ◽  
Author(s):  
Sean Ekins ◽  
John Liebler ◽  
Bruno J. Neves ◽  
Warren G. Lewis ◽  
Megan Coffee ◽  
...  

The Zika virus (ZIKV) is a flavivirus of the familyFlaviviridae, which is similar to dengue virus, yellow fever and West Nile virus. Recent outbreaks in South America, Latin America, the Caribbean and in particular Brazil have led to concern for the spread of the disease and potential to cause Guillain-Barré syndrome and microcephaly. Although ZIKV has been known of for over 60 years there is very little in the way of knowledge of the virus with few publications and no crystal structures. No antivirals have been tested against it eitherin vitroorin vivo. ZIKV therefore epitomizes a neglected disease. Several suggested steps have been proposed which could be taken to initiate ZIKV antiviral drug discovery using both high throughput screens as well as structure-based design based on homology models for the key proteins. We now describe preliminary homology models created for NS5, FtsJ, NS4B, NS4A, HELICc, DEXDc, peptidase S7, NS2B, NS2A, NS1, E stem, glycoprotein M, propeptide, capsid and glycoprotein E using SWISS-MODEL. Eleven out of 15 models pass our model quality criteria for their further use. While a ZIKV glycoprotein E homology model was initially described in the immature conformation as a trimer, we now describe the mature dimer conformer which allowed the construction of an illustration of the complete virion. By comparing illustrations of ZIKV based on this new homology model and the dengue virus crystal structure we propose potential differences that could be exploited for antiviral and vaccine design. The prediction of sites for glycosylation on this protein may also be useful in this regard. While we await a cryo-EM structure of ZIKV and eventual crystal structures of the individual proteins, these homology models provide the community with a starting point for structure-based design of drugs and vaccines as well as a for computational virtual screening.


2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Shinji Amari ◽  
Ryoichi Kataoka ◽  
Takashi Ikegami ◽  
Noriaki Hirayama

The three-dimensional (3D) structures of human leukocyte antigen (HLA) molecules are indispensable for the studies on the functions at molecular level. We have developed a homology modeling system named HLA-modeler specialized in the HLA molecules. Segment matching algorithm is employed for modeling and the optimization of the model is carried out by use of the PFROSST force field considering the implicit solvent model. In order to efficiently construct the homology models, HLA-modeler uses a local database of the 3D structures of HLA molecules. The structure of the antigenic peptide-binding site is important for the function and the 3D structure is highly conserved between various alleles. HLA-modeler optimizes the use of this structural motif. The leave-one-out cross-validation using the crystal structures of class I and class II HLA molecules has demonstrated that the rmsds of nonhydrogen atoms of the sites between homology models and crystal structures are less than 1.0 Å in most cases. The results have indicated that the 3D structures of the antigenic peptide-binding sites can be reproduced by HLA-modeler at the level almost corresponding to the crystal structures.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 5802-5802
Author(s):  
Derek Essegian ◽  
Tyler A. Cunningham ◽  
Jonathan H. Schatz ◽  
Stephan Schurer

Abstract Targeted signaling inhibitors for hematologic malignancies often lead to limited clinical efficacy due to the outgrowth of subpopulations with alternative pathways independent of the drug target. The eIF4F complex responsible for translation initiation is a convergence point for many cancer-promoting signaling pathways and its inhibition leads to decreased expression of key oncoproteins and apoptosis. Lymphomas and leukemias show particular dependence on constitutive eIF4F activation. Indeed, natural compounds targeting the eIF4F enzymatic component, eIF4A1, demonstrate activities both in vitro and in vivo against lymphoma and leukemia model systems, among other tumor types. eIF4A1 is a noteworthy target for hematologic malignancies based on the finding that BCR stimulation leads to increased mRNA translation primary CLL patient samples. Additionally, eIF4F components eIF4A1 and eIF4G1 had increased expression upon IgM-induced BCR activation. The natural compound silvestrol is a potent inhibitor of eIF4A1, results in cancer cell cytotoxicity, and has an established therapeutic window in vivo. Silvestrol shows potent antitumor activity against 924 pan-cancer tumor cell lines with 830/924 (90%) sensitive at IC50 <100nM with lymphoma and leukemia cell lines being particularly sensitive. Silvestrol and other natural compounds, however, lack core drug-like properties and synthetic tractability. To discover new, specific and tractable inhibitors of eIF4A1 that are more drug-like, we have constructed several molecular models that we used to virtually screen more than 20 million compounds. eIF4A1 is the founding member of the DEAD-box RNA helicases, which include its paralogs eIF4A2 (91% amino-acid identity with eIF4A1) and eIF4A3 (60% identity). All DEAD-box helicases contain two RecA-like domains separated by a flexible linker. The cleft between these domains is lined with helicase motifs that mediate nucleotide binding and hydrolysis. In an absence of RNA or nucleotide, eIF4A proteins adopt diffuse open conformations; binding of RNA and ATP triggers transition to a more stable closed state. Modeling small-molecule interactions in the nucleotide cleft of eIF4A1 therefore assesses ability of molecules to lock eIF4A1 in a conformation unable to cycle through ATPase and helicase activities. Although no experimentally derived structure of human eIF4A1 co-crystalized with ATP exists, crystal structures of other DEAD-box family members with similar motifs permit detailed studies of nucleotide and ligand-binding and the development of homology models. We have used four available high-resolution crystal structures to build models predicting interactions of small molecules in the interdomain nucleotide-binding cleft. We identified nucleotide binding-site residues and accurately reproduced ATP interactions for all four models (derived from PDB: 2J0S, 1FUU, 2VSO, 2DB3). We then performed all-atom explicit-water molecular dynamics (MD) simulations for 500-700 ns to study conformational dynamics and atomic interactions of ATP-bound and ATP-unbound states. Yeast eif4A crystal structure (PDB:1FUU) in the open state, for example, illustrated closure of the two RecA domains upon ATP binding. As expected, ATP makes strong interactions with the N-terminal, while phosphate groups extend to the C-terminal interacting with arginines, bringing the two RecA domains together. In contrast, we did not observe domain closure in the same simulation with 1FUU without ATP bound. We also assessed 2J0S, a crystal structure of human closed eIF4A3 bound to ANP. ATP docked to this active site followed by 500 ns MD held the protein in the closed state with several interdomain interactions. Upon nucleotide removal, marked RecA separation occurred. We observed similar domain closure and opening for PDB: 2VSO and 2DB3. Pooling these results, we constructed two homology models of human eIF4A1 with both open (2VSO, 1FUU) and closed conformations (2J0S) as structural templates. We therefore have developed accurate and novel in silico models of eIF4A1 highly useful in assessing interactions of small-molecule ATPase inhibitors, with focus on the ATP-binding cleft. Disclosures No relevant conflicts of interest to declare.


Author(s):  
Abigail Ranasinghe ◽  
A. S. Smiline Girija ◽  
J. Vijayashree Priyadharsini

Evaluation of the drug ligand interactions between the C. cassia bio-compounds with the SAP-1 in C. albicans to explore the inhibitory medicinal potential of C. cassia bio-compounds by a computational approach is performed in the present investigation. Antimicrobial assay was done using agar well diffusion method with the crude aqueous and ethanolic extracts of the dried barks of C. cassia against C. albicans. 2D & 3D structures of the active bio-compounds of C. cassia were optimized and the 3D structure of SAP-1 was retrieved from the PDB data bank. In-silico inhibitory potential of the selected C. cassia biocompounds against SAP-1 was done by Auto Dock 2.0 and was visualized with Accelrys discovery studio visualizing tool with the assessment of the molecular properties of the ligands against SAP-1 by molinspiration calculations and further assessment for their drug likeliness. In-vitro analysis showed a promising anti-fungal activity of C. cassia extracts against C. albicans. Cinnamoyl E-acetate and Eugenyl acetate seem to possess promising inhibitory effect to target SAP-1 with a least binding energy of –5.33 and -5.21 Kcal/mol with four hydrogen bonds respectively. Molinspiration assessments showed zero violations for all the C. cassia compounds with the TPSA scores of <140 Å towards the best oral bioavailability. The findings of the study emphasize that cinnamaldehyde, cinnamoyal acetate and eugenol from C. cassia seem to possess a promising inhibitory effect against SAP-1 of C. albicans suggesting the medicinal value of the spice against SAP-1.


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