Arli Aditya Parikesit

In silico modification of suberoylanilide hydroxamic acid (SAHA) as potential inhibitor for class II histone deacetylase (HDAC)

BackgroundThe cervical cancer is the second most prevalent cancer for the woman in the world. It is caused by the oncogenic human papilloma virus (HPV). The inhibition activity of histone deacetylase (HDAC) is a potential strategy for cancer therapy. Suberoylanilide hydroxamic acid (SAHA) is widely known as a low toxicity HDAC inhibitor. This research presents in silico SAHA modification by utilizing triazole, in order to obtain a better inhibitor. We conducted docking of the SAHA inhibitor and 12 modified versions to six class II HDAC enzymes, and then proceeded with drug scanning of each one of them.ResultsThe docking results show that the 12 modified inhibitors have much better binding affinity and inhibition potential than SAHA. Based on drug scan analysis, six of the modified inhibitors have robust pharmacological attributes, as revealed by drug likeness, drug score, oral bioavailability, and toxicity levels.ConclusionsThe binding affinity, free energy and drug scan screening of the best inhibitors have shown that 1c and 2c modified inhibitors are the best ones to inhibit class II HDAC.

Computational design of drug candidates for influenza A virus subtype H1N1 by inhibiting the viral neuraminidase-1 enzyme.

Abstract It is critical to seek potential alternative treatments for H1N1 infections by inhibiting neuraminidase-1 enzyme. One of the viable options for inhibiting the activity of neuraminidase- 1 is peptide drug design. In order to increase peptide stability, cyclization is necessary to prevent its digestion by protease enzyme. Cyclization of peptide ligands by formation of disulfide bridges is preferable for designing inhibitors of neuraminidase-1 because of their high activity and specificity. Here we designed ligands by using molecular docking, drug scan and dynamics computational methods. Based on our docking results, short polypeptides of cystein-arginine-methionine-tyrosine- -proline-cysteine (CRMYPC) and cysteine-arginine-aspargine- phenylalanine-proline-cysteine (CRNFPC) have good residual interactions with the target and the binding energy ΔGbinding of -31.7402 and -31.0144 kcal mol-1, respectively. These values are much lower than those of the standards, and it means that both ligands are more accessible to ligand-receptor binding. Based on drug scan results, both of these ligands are neither mutagenic nor carcinogenic. They also show good oral bioavailability. Moreover, both ligands show relatively stable molecular dynamics progression of RMSD vs. time plot. However, based on our metods, the CRMYPC ligand has sufficient hydrogen bonding interactions with residues of the active side of neuraminidase-1 and can be therefore proposed as a potential inhibitor of neuraminidase-1

Molecular dynamics simulation of complex Histones Deacetylase (HDAC) Class II Homo Sapiens with suberoylanilide hydroxamic acid (SAHA) and its derivatives as inhibitors of cervical cancer

Cervical cancer is second most common cancer in woman worldwide. Cervical cancer caused by human papillomavirus (HPV) oncogene. Inhibition of histone deacetylase (HDAC) activity has been known as a potential strategy for cancer therapy. SAHA is an HDAC inhibitor that has been used in cancer therapy but still has side effects. SAHA modification proposed to minimize side effects. Triazole attachment on the chain of SAHA has been known to enhance the inhibition ability of SAHA and less toxic. In this study, it will be carried out with molecular dynamic simulations of SAHA modifications consisting ligand 1a, 2a and, 2c to interact with six HDAC in hydrated conditions. To all six HDAC Class II, performed docking with SAHA and a modified inhibitor. The docking results were then carried out molecular dynamics simulations to determine the inhibitor affinities in hydrated conditions. The molecular dynamic simulations results show better affinities of ligand 2c with HDAC 4, 6, and 7 than SAHA itself, and good affinity was also shown by ligand 2a and 1c on HDAC 5 and 9. The results of this study can be a reference to obtain better inhibitors.

HPV Bioinformatics: In Silico Detection, Drug Design and Prevention Agent Development

Viral infection is a very serious threat to humanity. It causes malicious diseases, such as HIV/AIDS, dengue, and Avian Influenza, therefore, novel method in virology to combat the viral infection is necessary. Bioinformatics provides outstanding tools for developing vaccines, PCR primers, mutation detection and drugs based design on genetic engineering principles. Those tools are mostly freeware. Algorithm from the computer science has made major contribution to them. Bioinformatics experiment greatly reduces the cost and time in wet laboratory experiment. Our lab has successfully designed PCR primers, vaccine, and mutations prediction. The vaccine design is elaborated for Dengue and HPV. The design has BLAST homology of more than 90%, and RSMD value of 0.1. Those data shown, that the design have identical structure with the native viral protein.

Evolution and Quantitative Comparison of Genome-Wide Protein Domain Distributions

The metabolic and regulatory capabilities of an organism are implicit in its protein content. This is often hard to estimate, however, due to ascertainment biases inherent in the available genome annotations. Its complement of recognizable functional protein domains and their combinations convey essentially the same information and at the same time are much more readily accessible, although protein domain models trained for one phylogenetic group frequently fail on distantly related sequences. Pooling related domain models based on their GO-annotation in combination with de novo gene prediction methods provides estimates that seem to be less affected by phylogenetic biases. We show here for 18 diverse representatives from all eukaryotic kingdoms that a pooled analysis of the tendencies for co-occurrence or avoidance of protein domains is indeed feasible. This type of analysis can reveal general large-scale patterns in the domain co-occurrence and helps to identify lineage-specific variations in the evolution of protein domains. Somewhat surprisingly, we do not find strong ubiquitous patterns governing the evolutionary behavior of specific functional classes. Instead, there are strong variations between the major groups of Eukaryotes, pointing at systematic differences in their evolutionary constraints.

Screening Analogs of β-OG Pocket Binder as Fusion Inhibitor of Dengue Virus 2

Dengue is an infectious disease caused by dengue virus (DENV) and transmitted between human hosts by mosquitoes. Recently, Indonesia was listed as a country with the highest cases of dengue by the Association of Southeast Asian Nations. The current treatment for dengue disease is supportive therapy; there is no antiviral drug available in the market against dengue. Therefore, a research on antiviral drug against dengue is very important, especially to prevent outbreak explosion. In this research, the development of dengue antiviral is performed through the inhibition of n-octyl-β-D-glucoside (β-OG) binding pocket on envelope protein of DENV by using analogs of β-OG pocket binder. There are 828 compounds used in this study, and all of them were screened based on the analysis of molecular docking, pharmacological character prediction of the compounds, and molecular dynamics simulation. The result of these analyses revealed that the compound that can be used as an antiviral candidate against DENV is 5-(3,4-dichlorophenyl)-N-[2-(p-tolyl) benzotriazol-5-yl]furan-2-carboxamide.

Screening of commercial cyclic peptide conjugated to HIV-1 Tat peptide as inhibitor of N-terminal heptad repeat glycoprotein-2 ectodomain Ebola virus through in silico analysis

Ebola Hemorrhagic Fever (EHF) is a disease caused by viruses from genus Ebolavirus. Zaire ebolavirus (EBOV) is the deadliest species which has 76% case fatality rate. Up until now, there is no U.S. Food and Drug Administration (FDA) approved drugs to treat EHF. Antiviral drug based on EBOV N-terminal heptad repeat glycoprotein-2 (NHR GP2) Ectodomain inhibitor is one kind of treatment that has not well developed. NHR GP2 Ectodomain has an important role in the process of EBOV entry into the cell through endocytosis mechanism. In this study, we used in silico methods to investigate the activity of commercial cyclic peptide conjugated to Human Immunodeficiency Virus type 1 Trans-activator of the transcription (HIV-1 Tat) peptide as ligands which act as an inhibitor of EBOV NHR GP2 Ectodomain. The commercial cyclic peptides which we used in this study were obtained from the selected chemical companies. Conjugation of the commercial cyclic peptides to HIV-1 Tat peptide was done in order to accumulate it inside the endosome. The ligands which had the best inhibition properties were screened using molecular docking and molecular dynamics simulation. Prediction of pharmacological properties of the peptides was done to choose the best drug candidate. The result of screening processes shows that Ligand 023 has the highest potency as the drug lead. The ligand needs to undergo further analysis through in vitro, in vivo, and a clinical trial to ensure that this ligand has a therapeutic ability as an antiviral drug for Ebola virus infection.

Utilization of Boron Compounds for the Modification of Suberoyl Anilide Hydroxamic Acid as Inhibitor of Histone Deacetylase Class II Homo sapiens

Histone deacetylase (HDAC) has a critical function in regulating gene expression. The inhibition of HDAC has developed as an interesting anticancer research area that targets biological processes such as cell cycle, apoptosis, and cell differentiation. In this study, an HDAC inhibitor that is available commercially, suberoyl anilide hydroxamic acid (SAHA), has been modified to improve its efficacy and reduce the side effects of the compound. Hydrophobic cap and zinc-binding group of these compounds were substituted with boron-based compounds, whereas the linker region was substituted with p-aminobenzoic acid. The molecular docking analysis resulted in 8 ligands with ΔG binding value more negative than the standards, SAHA and trichostatin A (TSA). That ligands were analyzed based on the nature of QSAR, pharmacological properties, and ADME-Tox. It is conducted to obtain a potent inhibitor of HDAC class II Homo sapiens. The screening process result gave one best ligand, Nova2 (513246-99-6), which was then further studied by molecular dynamics simulations.

In silico design of cyclic peptides as influenza virus, a subtype H1N1 neuraminidase inhibitor

Nowadays, influenza has become a global public health concern because it is responsible for significant morbidity and mortality due to annual epidemics and unpredictable pandemics. There are only limited options to control this respiratory disease. Vaccine treatment is useless for controlling this disease because of the occurrence of mutation in the influenza virus. Influenza virus is also resistant to some antiviral drugs like oseltamivir and zanamivir, which inhibit neuraminidase. Another solution for controlling this virus is to find new design for antiviral drugs. Cyclic peptides can be used to make new antiviral drug design especially to inhibit neuraminidase activity by using ’structure-based design’ method. Based on molecular docking, new antiviral drug designs have been found. They are DNY, NNY, DDY, DYY, RRR, RPR, RRP and LRL. These cyclic peptides showed better activity and affinity than standard ligand to inhibit neuraminidase activity. From drug scan, DNY, NNY and LRL ligands have low toxicity and were predicted to have at least 59% possibility that it could be synthesized in wet laboratory experiment. Key words : Influenza virus A, neuraminidase, cyclic peptide, structure based design, molecular docking.

Designing cyclopentapeptide inhibitor of neuraminidase H5N1 virus through molecular and pharmacology simulations

Highly Pathogenic Avian Influenza(HPAI) H5N1 has attracted much attention as a potential pandemic virus in humans, which makes death inevitable in humans. Neuraminidase(NA) has an important role in viral replication. Thus, it is an attractive target when designing anti-influenza virus drug. However, evolving viruses cause some anti-viral drugs to be ineffective, as they show resistance to them. Selection of peptides as drug candidates is important for the peptide-receptor activity and good selectivity. Cyclic bonds in the peptide ligand design aim to improve the stability of the system and remove the obstacles in drug metabolism. The design is based on the polarity of the ligand and amino acid residues in the active site of NA. The results are 4200 cyclic pentapeptides as potential lead compounds. Docking simulations were conducted using MOE 2008.10 and were screened based on the value of the binding energy(?Gbinding). ADME-Tox prediction assay was conducted on the selected ligands.Intra- and inter-molecular interactions, as well as changes in the form of bonds, were tested by molecular dynamics simulations at temperatures of 310 K and 312 K. The results of the docking simulations and toxicity prediction assay show that there are two ligands that have a residual interaction with the target protein: CLDRC and CIWRC. These two ligands have ?Gbindingvalues of –40.5854 and –39.9721 kcal/mol(1 kcal/mol = 4.18 k J/mol). These ligands are prone to be mutagenic and carcinogenic, and they have a good oral bioavailability. The results show that the molecular dynamics of both ligand CLDRC and CIWRC are more feasible at the temperature of 312 K. At the end,both CIWRC and CLDRC ligands can be used as the drug candidates against H5N1 virus.