scholarly journals Prediksi Asam Kuinat Sebagai Anti-Inflamasi Terhadap COX-2 Secara Virtual

2019 ◽  
Vol 4 (3) ◽  
pp. 124
Author(s):  
Yohanes Bare ◽  
Agustina Dua Kuki ◽  
Apriani Herni Rophi ◽  
Gabriella Candrakirana Krisnamurti ◽  
Margaretha Rika Wahyu Gabrella Lorenza ◽  
...  
Keyword(s):  
Protein Data Bank ◽  
Data Bank ◽  
Protein Domain ◽  
Discovery Studio ◽  
Cox 2 ◽  
Domain Protein

Inflamasi merupakan mekanisme pertahanan tubuh terhadap terhadap rangsangan berbahaya, seperti patogen, sel-sel yang rusak, senyawa beracun, atau iradiasi. Selama inflamasi dalam tubuh terdapat COX-2 mediator inflamasi yang peran meningkatkan inflamasi.  Sistem imun anti-inflamasi yang mengalami mutasi menyebabkan inflmasi meningkat. Oleh karena itu untuk menurnkannya menggunakan bioaktif alam. Asam kuinat memiliki toksisitas yang sangat rendah dan tidak memberikan efek negatif terhadap organ tubuh manusia. Asam kuinat memiliki potensi yang besar sebagai kandidat obat tertinggi dalam terapi. Akan tetapi kurangnya kajiannya. Penelitian ini bertujuan unutk memprediksi potensi serta menganalisis asam kuinat sebagai agen inflamasi dengan cara menghambat COX-2. Metode yang digunakan terdiri atas pengunduhan protein COX-2 dari protein data bank (PDB) dan asam kuinat diperoleh dari database PubChem, persiapan protein (COX-2) dan ligan (asam Kuinat) dengan program PyRx, analisis interaksi protein dan ligan menggunakan program Hex 8.0.0 dan Discovery Studio client 4.  Interaksi antara protein dan ligan menunjukan hasil positif dengan ditemukan 2 domain protein yang berikatan dengan asam kuinat. Protein domain A (GLU140, ASN144, SER143, dan TRP139) dan protein domain B (GLU236, THR237, LYS333, GLN241, GLN330, PHE329, dan LEU238). Ikatan yang terbentuk ada ikatan hidrogen dengan energi sebesar -198.95cal/mol. Asam kuinat diprediksi memiliki potensi sebagai terapi anti-inflamasi, hal ini ditunjukan karena ada ikatan yang terbentuk antara ligan dan 11 residu asam amino.

scholarly journals STUDI AKTIVITAS BIOLOGI SECARA IN SILICO SENYAWA NONIVAMIDE DAN NORDIHYDROCAPSAICIN SEBAGAI ANTI INFLAMASI

2021 ◽  
Vol 8 (2) ◽  
pp. 82
Author(s):  
Theresia Nona Elfi ◽  
Yohanes Nong Bunga ◽  
Yohanes Bare
Keyword(s):  
Protein Data Bank ◽  
In Silico ◽  
Data Bank ◽  
Discovery Studio ◽  
Capsicum Annum ◽  
Cox 2

<p>Cabai Merah Besar (<em>Capsicum Annum</em> L) merupakan tanaman holtikultura yang dibudidayakan dalam skala kecilnamun memiliki manfaat kesehatan. Cabai Merah Besar (<em>Capsicum Annum</em> L.) juga digunakan untuk pengobatan sakit gigi, bisul, anti parasit, anti inflamasi, antitusif dan juga digunakan sebagai antiseptik, nafsu makan. Penelitian ini memiliki tujuan untuk menganalisis potensi senyawa <em>nonivamide</em> dan <em>nordihydrocapsaicin </em>sebagai anti-inflamasi. Kajian penelitian metode in silico. Senyawa <em>Nonivamide</em> (CID :2998) dan <em>Nordihydrocapsaicin</em> (CID: 168836) diperoleh dari PubChem sedangkan COX-2 (6cox) dari Protein Data Bank. Analisis menggunakan HEX 8.0.0 dan ditampilkan Discovery studio client 4.1. Interaksi yang terjadi antara senyawa <em>Nonivamide</em> dan COX-2 membentuk ikatan hidrogen dengan tipe ikatan hidrogen konvensional (CYS47) dan ikatan hidrofobik (LEU152). Selain ikatan hidrogen, juga terdapat sembilan belas residu asam amino menunjukkan adanya gaya <em>V</em><em>an </em><em>D</em><em>er </em><em>W</em><em>aals</em> membentuk energi -339.48 cal/mol. Ikatan Nordihydrocapsaicin dengan COX-2 membentuk ikatan pada residu asam amino TRP139 bersifat Pi-Alkyl dan ikatan hidrogen sebagai donor dengan Residu asam amino SER143 energi ikatan sebesar -248.47 cal/mol.</p>

Combinatorial Screening of COX-2 Inhibitors from Chinese Herbs Based on Multiple Structure-Based Pharmacophores

2013 ◽  
Vol 791-793 ◽  
pp. 269-273
Author(s):  
Yan Ling Zhang ◽  
Yuan Ming Wang ◽  
Yan Jiang Qiao
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Protein Data Bank ◽  
Data Bank ◽  
Chinese Herbs ◽  
Combinatorial Screening ◽  
Cox 2 ◽  
Appraisal Index ◽  
Cox 2 Inhibitors ◽  
Pharmacophore Models

Ten structure-based pharmacophore models of Cyclooxygenase 2 (COX-2) inhibitors were generated by LigandScout based on COX-2 inhibitor complexes from the Protein Data Bank (PDB). The potential COX-2 inhibitors were identified from traditional Chinese medicine with the method of combinatorial screening with ten models. Based on the screening results of MDDR and the metrics of E, A% and comprehensive appraisal index (CAI), the threshold of hit frequency of molecules was defined and used to identify the active molecules from Chinese herbs. The molecules hit by not less than six pharmacophore models were taken as the screening objects of COX-2 inhibitor, and 1103 molecules were obtained.

scholarly journals In Silico Insight the Prediction of Chlorogenic Acid in Coffee through Cyclooxygenase-2 (COX2) Interaction

2019 ◽  
Vol 7 (2) ◽  
Author(s):  
Yohanes Bare ◽  
Dewi Ratih Tirto Sari ◽  
Yoga Tribakti Rachmad ◽  
Gabriella Candrakirana Krisnamurti ◽  
Agustina Elizabeth
Keyword(s):  
Chlorogenic Acid ◽  
Potential Role ◽  
Interaction Model ◽  
Data Bank ◽  
High Permeability ◽  
Discovery Studio ◽  
Docking Approach ◽  
Cox 2 ◽  
Therapeutic Compound

Inflammation was signs of pathological or abnormality in tissue to give an alert as a trouble signal to the system. Therapeutic using NSAIDs has some side effects. This research explored the potential role of chlorogenic acid as natural therapeutic compound to inhibit the inflammation target such as COX-2 by interaction model. The research method used in this study was the molecular docking approach, which binds ligand and protein. Protein data provided by Protein Data Bank (ID: 6cox) while, chlorogenic acid obtain from PubChem (CID: 1794427). We docked COX-2 and chlorogenic acid using Hex 8.0.0. Visualization and analysis of the molecular interactions of chlorogenic acid and COX-2 conducted by the Discovery Studio Client 4.1 software. Chlorogenic acid has a high permeability and is easily absorbed based on five Lipinski Rule. Interestingly, we found Fifteen amino acid was binding with chlorogenic acid that formed by hydrogen bond and van der Waals.The interaction between ligand-protein results in energy binding -327.59cal/mol. Chlorogenic acid has a potential role to inhibit inflammation pathway by inhibiting COX-2. We predicted chlorogenic acid has a potential as therapy anti-inflammatory to suppress COX-2 as mediator inflammation.

ANÁLISE COMPUTACIONAL DA INTERAÇÃO ENTRE O CANAL IÔNICO DE α-HL E COMPOSTOS TIAZOLIDÍNICOS

2021 ◽  
Author(s):  
Maria Isabel dos Santos Cavalcanti ◽  
Débora Brígida Moura de Freitas ◽  
Dijanah Cota Machado ◽  
Cláudio Gabriel Rodrigues
Keyword(s):  
Staphylococcus Aureus ◽  
Protein Data Bank ◽  
Data Bank ◽  
Discovery Studio

Introdução: Staphylococcus aureus (S. aureus) é uma bactéria associada a diversas infecções, tanto na comunidade quanto em ambiente hospitalar, ocasionando desde infecção cutânea até septicemia(1). Um importante fator de virulência é a exotoxina alfa-hemolisina (α-HL), que oligomeriza e forma canais iônicos transmembranares nas células-alvo, permitindo o fluxo livre de várias espécies químicas, resultando na morte celular(2). Diversas cepas de S. aureus exibem multirresistência aos antibióticos, limitando as opções de tratamento. Os derivados tiazolidínicos podem ser uma boa alternativa para bloquear a α-HL, pois possuem amplas propriedades bioativas, como por exemplo a antimicrobiana para cepas multirresistentes, sendo eficazes contra o S. aureus e inibindo o seu crescimento(3). Objetivos: Dada a importância da busca de compostos com ação antibacteriana, via bloqueio da α-HL, este trabalho visa analisar, via docagem molecular, a interação de derivados tiazolidínicos 5-benzilideno com o canal iônico formado pela toxina. Métodos: A estrutura cristalográfica da α-HL de S. aureus foi obtida pelo Protein Data Bank (PDB) e utilizou-se o MolView para modelagem dos compostos denominados GQ294 e GQ443, posteriormente submetidos ao Avogadro 1.1.1 para minimização de energia molecular. A docagem foi realizada pelo DockThor e os resultados foram analisados utilizando o Discovery Studio Visualizer. Resultados: A partir dos resultados de docagem pelo DockThor, foi obtida uma classificação dos compostos de acordo com suas energias totais e scores de afinidade com a toxina. Os valores de energia total do GQ443 e GQ294 foram iguais a -15,152 KJ/ mol e -19,009 KJ/ mol, respectivamente. Enquanto o score de afinidade de GQ443 e GQ294 foi de -6,820 Kcal/ mol e -5,902 Kcal/ mol respectivamente. As análises obtidas a partir do Discovery Studio Visualizer demonstraram que os dois compostos interagem com a região de constrição do canal iônico, principalmente com os resíduos GLU 111 e LYS 147, sendo estas interações mediadas principalmente por ligações de hidrogênio, além de interações do tipo cátionpi, pi-alquila, pi-enxofre. Esses dados corroboram com outros trabalhos já encontrados na literatura(4). Conclusões: Os resultados indicam, preditivamente, que os compostos GQ443 e GQ294 interagem com o canal da α-HL na região de constrição, sugerindo um bloqueio de sua atividade. São necessários dados experimentais para elucidar os dados teóricos já obtidos.

scholarly journals Virtual Screening: Prediksi potensi 8-shogaol terhadap c-Jun N-Terminal Kinase (JNK)

2020 ◽  
Vol 4 (1) ◽  
pp. 1 ◽  
Author(s):  
Yohanes Bare ◽  
Mansur S ◽  
Sri Sulystyaningsih Natalia Daeng Tiring ◽  
Dewi Ratih Tirto Sari ◽  
Andri Maulidi
Keyword(s):  
Hydrogen Bond ◽  
Amino Acid ◽  
Virtual Screening ◽  
Protein Data Bank ◽  
Van Der Waals ◽  
Data Bank ◽  
Software Visualization ◽  
Amino Acid Residues ◽  
Discovery Studio ◽  
Protein Model

JNK adalah gen yang berperan dalam metabolisme DMT2. Dalam pengobatan T2DM digunakan JNK sebagai potensi terapi dengan menggunakan bahan alam. 8-shogaol adalah komponen kimia yang terkandung dalam jahe yang memiliki aktivitas antioksidan. Tujuan dari penelitina ini adalah menginversitagasi dan menganalisis peran 8-shogaol terhadap JNK. Protein JNK (ID: 464Y) diperoleh dari Protein Data Bank dan ligan 8-shogaol (CID:6442560 ) didapat dari pubchem. Ligan dan protein didocking menggunakan Hex 8.0.0. File dalam bentuk pdb divisualtisasi dan analisis menggunakan Discovery Studio Client 4.1 software. Interaksi ligan-protein menunjukan ikatan hidrogen pada residu asam amino LYS93 dan van der Waals pada 18 residu asam amino dengan energi ikatan-289.68cal/mol. Interkasi ini berpotensi sebagai penghambat kerja JNK dan dapat digunakan dalam terapi DMT2.Virtual screening: potential prediction of 8-shogaol againts c-Jun N-Terminal Kinase (JNK)AbstractJNK is one of gene that has a role in T2DM condition. To curve T2DM use JNK as potential healing using natural compounds. Eight-shogaol which found in ginger has function as a antioxidant.. The aim of the research is to investigate and analyze role 8-shogaol againts JNK. Protein JNK (ID: 464Y) was taken from Protein Data Bank and ligand 8-shogaol (CID:6442560 ) acquired from pubchem. Ligand and protein model were docked using Hex 8.0.0 software. Visualization and analysis molecular interactions by the Discovery Studio Client 4.1 software. Interaction ligand-protein showed one hydrogen bond in amino acid residue LYS93 and formed van der Waals in eighteen amino acid residues which energy binding -289.68cal/mol. This interaction has a potential to inhibit JNK role and lead to therapy T2DM.

scholarly journals Desain Turunan Senyawa Leonurine Sebagai Kandidat Obat Anti Inflamasi

2020 ◽  
Vol 6 (1) ◽  
pp. 181-191
Author(s):  
Ruslin Beny ◽  
Nindy Rachma Az Yana ◽  
Mesi Leorita
Keyword(s):  
Binding Energy ◽  
Protein Data Bank ◽  
Root Mean Square ◽  
Root Mean Square Deviation ◽  
Inhibitory Activity ◽  
Data Bank ◽  
Mean Square ◽  
Mean Square Deviation ◽  
Cox 2 ◽  
Autodock 4.2

In this research, there was docking process of leonurine compounds and their derivatives to Cyclooxygenase-2 (COX-2) enzyme as an anti-inflammatory. The receptor code used is 6COX which is downloaded from the protein data bank site (PDB). The aims of this study was to investigate the interaction of leonurine compounds and their derivatives against COX-2 receptors. All compounds are docked using AutoDock 4.2 software. The docking validation is performed by tethering the ligand-receptor with the parameter of the Root Mean Square Deviation (RMSD) value <2 Å. From the docking validation results, have been obtained RMSD value = 0.31 Å. Analysis of docking results indicates that leonurine and its derivatives are predicted to have good interaction with COX-2 receptors. From the results of this research, it can be concluded that leonurine compounds and their derivatives have inhibitory activity against COX-2 receptors. The docking results showed the lowest binding energy value ligand-receptor (ΔG) best matched in the 11th derived compound which is -7.95 kcal/mol.

scholarly journals The Protein Data Bank: data distribution and query functionality

2002 ◽  
Vol 58 (s1) ◽  
pp. c214-c214
Author(s):  
W. F. Bluhm ◽  
T. Battistuz ◽  
E. Clingman ◽  
N. Deshpande ◽  
W. Fleri ◽  
...  
Keyword(s):  
Protein Data Bank ◽  
Data Distribution ◽  
Data Bank
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