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

<p>Abstract</p> <p>Background</p> <p>The 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 <it>in silico</it> 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.</p> <p>Results</p> <p>The 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.</p> <p>Conclusions</p> <p>The 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.</p

Computational design of disulfide cyclic peptide as potential inhibitor of complex NS2B-NS3 dengue virus protease

Development of genomic and proteomic studies coupled with computational sciences could facilitate the discovery of various target proteins and potential inhibitor to be developed as drugs. Several researches by molecular docking method have been conducted to design disulfide cyclic peptide ligand as potential inhibitors for NS2B-NS3 protease (NS2B-NS3 pro) of dengue virus serotype DENV-2 in order to inhibit replication of dengue virus. This research studied and evaluated the interaction of ligands and the enzyme in the hydrate state using molecular dynamics simulations at two different temperatures. Simulations were performed using two disulfide cyclic peptide inhibitors KRK and RKR, along with one linear peptide Bz-Nle-K-R-R-H as standard ligand. The result shows that dynamic movement of three proposed ligand in hydrated state affects ligand interactions. RKR ligand has the best affinity with the enzyme than KRK and standard ligand. This is shown by the ligand interaction with enzyme active site which remains stable during the simulation. At the end of simulation 300 K, RKR formed a hydrogen bond with Asp75 and at the end of simulation 312 K, RKR also maintained hydrogen bond with Asp75Key words: Dengue virus (DENV), serine protease NS2B and NS3, molecular docking, molecular dynamics

InCoB2010 - 9thInternational Conference on Bioinformatics at Tokyo, Japan, September 26-28, 2010

10.1186/1471-2105-11-S7-S1BMC Bioinformatics11SUPPL. 7-BBMI

Bioinformatics in crosslinking chemistry of collagen with selective cross linkers

<p>Abstract</p> <p>Background</p> <p>Identifying the molecular interactions using bioinformatics tools before venturing into wet lab studies saves the energy and time considerably. The present study summarizes, molecular interactions and binding energy calculations made for major structural protein, collagen of Type I and Type III with the chosen cross-linkers, namely, coenzyme Q₁₀, dopaquinone, embelin, embelin complex-1 & 2, idebenone, 5-O-methyl embelin, potassium embelate and vilangin.</p> <p>Results</p> <p>Molecular descriptive analyses suggest, dopaquinone, embelin, idebenone, 5-O-methyl embelin, and potassium embelate display nil violations. And results of docking analyses revealed, best affinity for Type I (- 4.74 kcal/mol) and type III (-4.94 kcal/mol) collagen was with dopaquinone.</p> <p>Conclusions</p> <p>Among the selected cross-linkers, dopaquinone, embelin, potassium embelate and 5-O-methyl embelin were the suitable cross-linkers for both Type I and Type III collagen and stabilizes the collagen at the expected level.</p