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Pharmacophore Modeling, Molecular Docking, and ADMET Approach for Identification of Anti-Cancer Agents Targeting the C-Jun N-Terminal Kinase (JNK) Protein Nur Ayu Ramadanti; Linda Erlina; Rafika Indah Paramita; Aryo Tedjo; Fadillah Fadillah; Surya Dwira
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 24 No. 01 (2023): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol24-iss01/391

Abstract

One of the most prevalent cancers in Indonesia is breast cancer, based on Indonesia's pathological-based registration.    Breast cancer is a complex, heterogeneous disease classified into hormone-receptor-positive, human epidermal growth factor receptor-2 overexpressing (HER2+) and triple-negative breast cancer (TNBC) based on histological features. Patients with HR+, HER2- Early Breast Cancer (EBC) do not experience recurrence or recurrence for a long time with currently available standard therapy [11]. However, up to 30% of patients with high-risk clinical and/or pathological features may experience a relapse in the first few years. This results in the need for research and development regarding updates in medicine both in terms of treatment and targets and drug compounds used. The c-Jun N-terminal kinase (JNK) protein functions in signaling and influences the apoptotic pathway as well as cancer cell survival. In this study, an insilico screening experiment of inhibitory compounds was carried out on the JNK protein receptor target by screening compounds and molecular docking of compounds for breast cancer therapy.Two novel herbal compounds, Mangostin and ent-Copalyl Dyphospate, have the potential to be turned into medicines that may cause apoptosis through JNK protein targets according to an in-silico-based molecular simulation technique
Ligand Based Pharmacophore Modelling, Virtual Screening, Molecular Docking, and ADMETOX of Natural Compounds as Antibiotic Candidates against Urinary Tract Infections (UTI) Windy Dwininda; Linda Erlina; Rafika Indah Paramita; Fadillah Fadillah; Surya Dwira; Jaka Fajar Fatriansyah
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 24 No. 02 (2023): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol24-iss02/404

Abstract

The use of antibiotic drugs requires close supervision that patients take antibiotics according to the rules. Irregular antibiotic use led to increased ADR cases (Antibiotic Drug-resistant). ADR is when an individual becomes resistant to an antibiotic drug that cannot kill bacteria. The high number of ADR cases prompted drug discovery to be implemented in analysis for Antibiotic candidates with good effectiveness through the Molecular Docking approach. The search for candidate test compounds as antibiotics were performed using the pharmacophore modelling method and molecular docking. And piperine, withaferin, has some of the same amino acids Ala101, Val103, Glu166, Trp165, and Leu102. Based on the prediction of the promising potential test ligand compound is Corosolic acid. In addition to assessing drug-likeness, pharmacokinetic and toxicity parameters, corosolic acid also has the lowest binding energy among other compounds. Through a textual bioinformatics approach, molecular docking simulations can be used as a first step in the search for new drug candidates in silico by considering various aspects, starting from the physicochemical properties of protein-ligand compounds and the environment. Analysis during the docking process to ADMETOX is an analysis to see the effectiveness and in silico compound safety.