Dataset Information

Molecular docking based screening of G6PS with 1, 5 Benzothiazepine derivates for a potential inhibitor.

ABSTRACT: Glucosamine-6-phosphate synthase (G6PS) (EC 2.6.1.16) is a known target for anti-bacterial and anti-fungal infections. Therefore, it is of interest to design potential inhibitors using 1, 5 benzo-thiazepine skeleton with appropriate modifications. We report the binding data for 20 derivatives of the skeleton molecule to G6PS having binding energy from -7.35 to -9.99 Kcal/mol with predicted IC50 value range of 4.11 to 47.68 nano-molar. It should be noted that this data should be further evaluated using in vitro and in vivo studies for safety, activity, efficacy and toxicity.

SUBMITTER: Chennu MM

PROVIDER: S-EPMC4702029 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Molecular docking based screening of G6PS with 1, 5 Benzothiazepine derivates for a potential inhibitor.

Chennu Maruthi Malya Prasada Rao MM Abdul Rahaman Shaik RS Yejella Rajendra Prasad RP

Bioinformation 20151231 12

Glucosamine-6-phosphate synthase (G6PS) (EC 2.6.1.16) is a known target for anti-bacterial and anti-fungal infections. Therefore, it is of interest to design potential inhibitors using 1, 5 benzo-thiazepine skeleton with appropriate modifications. We report the binding data for 20 derivatives of the skeleton molecule to G6PS having binding energy from -7.35 to -9.99 Kcal/mol with predicted IC50 value range of 4.11 to 47.68 nano-molar. It should be noted that this data should be further evaluated ...[more]

PMID: 26770025

Similar Datasets

Project description:mPGES-1 is an enzyme, which, when activated by inflammatory factors, can cause prostaglandin E synthesis. Traditional non-steroidal anti-inflammatory drugs are capable of inhibiting prostaglandin production, yet they can also cause gastrointestinal reactions and coagulation disorders. mPGES-1, the enzyme at the conclusion of prostaglandin production, does not cause any adverse reactions when inhibited. Numerous studies have demonstrated that mPGES-1 is more abundant in cancerous cells than in healthy cells, indicating that decreasing the expression of mPGES-1 could be a potential therapeutic strategy for cancer. Consequently, the invention of mPGES-1 inhibitors presents a fresh avenue for the treatment of inflammation and cancer. Incorporating a database of TCM compounds, we collected a batch of compounds that had an inhibitory effect on mPGES-1 and possessed IC50 value. Firstly, a pharmacophore model was constructed, and the TCM database was screened, and the compounds with score cut-off values of more than 1 were retained. Then, the compounds retained after being screened via the pharmacodynamic model were screened for docking at the mPGES-1 binding site, followed by high-throughput virtual screening [HTVS] and standard precision [SP] and super-precision [XP] docking, and the compounds in the top 20% of the XP docking score were selected to calculate the total free binding energy of MM-GBSA. The best ten compounds were chosen by comparing their score against the reference ligand 4U9 and the MM-GBSA_dG_Bind score. ADMET analysis resulted in the selection of ten compounds, three of which had desirable medicinal properties. Finally, the binding energy of the target protein mPGES-1 and the candidate ligand compound was analyzed using a 100 ns molecular dynamics simulation of the reference ligand 4U9 and three selected compounds. After a gradual screening study and analysis, we identified a structure that is superior to the reference ligand 4U9 in all aspects, namely compound 15643. Taken together, the results of this study reveal a structure that can be used to inhibit mPGES-1 compound 15643, thereby providing a new option for anti-inflammatory and anti-tumor drugs.

Dataset Information

Molecular docking based screening of G6PS with 1, 5 Benzothiazepine derivates for a potential inhibitor.

Publications

Molecular docking based screening of G6PS with 1, 5 Benzothiazepine derivates for a potential inhibitor.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets