scholarly journals STUDI IN SILICO POTENSI SENYAWA ALLIIN BAWANG PUTIH (Allium sativum) SEBAGAI INHIBITOR DPP-4 PADA DIABETES MELLITUS

2018 ◽  
Vol 4 (1) ◽  
pp. 13-17
Author(s):  
Martina Kurnia Rohmah
Keyword(s):  
Diabetes Mellitus ◽  
In Silico ◽  
Allium Sativum

Diabetes mellitus (DM) merupakan penyakit gangguan metabolisme glukosa yang dicirikan dengan gangguan sekresi dan resistensi insulin. Jalur pengobatan DM baru pada sistem increatin dengan penghambatan terhadap DPP-4 telah dikembangkan dan terbukti efektif untuk meningkatkan sekresi insulin, menjaga integritas sel β-pankreas, memperlambat pengosongan lambung dan meningkatkan lipogenesis tanpa menyebabkan efek samping sistemik. Bawang putih (Allium sativum) diketahui memiliki aktivitas antidiabetes di antaranya meningkatkan sekresi insulin dan menurunkan level glukosa plasma, memiliki aktivitas insulinotropik dibandingkan dengan hypoglikemik. Namun demikian mekanisme molekuler dari aktivitas ini belum banyak diketahui. Penelitian ini bertujuan untuk mengetahui potensi senyawa Alliin pada bawang putih (Allium sativum) sebagai inhibitor DPP-4 secara in silico menggunakan metode docking server. Hasil penelitian ini menunjukkan bahwa, senyawa Alliin terbukti dapat berikatan kuat dengan DPP-4 dengan interaksi permukaan sebesar 120.032. Ikatan Alliin dan DPP-4 sangat stabil dibuktikan dengan energi ikatan bebas yang kecil (-0.59 kcal/mol). Alliin juga terbukti memiliki aktivitas penghambatan pada DPP-4 inhibitor dibuktikan nilai konstanta inhibisi (Ki) yaitu 792.92 mM. Hal ini didukung oleh adanya kesamaan struktur antara ikatan rangkap O (=O) dan NH2 antara alliin dengan saxagliptin. Penelitian ini membuktikan bahwa senyawa Alliin dapat berikatan dengan DPP-4 dan mampu memberikan efek penghambatan.

scholarly journals Effect of Single Clove Garlic Extract (Allium Sativum Linn) on Blood Sugar Levels, Malondialdehyde, Insulin Levels and Insulin Resistance (Experiments in Rats (Rattus Novergicus) Induced by Streptozotocin

2020 ◽  
Vol 9 (2) ◽  
pp. 954-963
Author(s):  
Yeni Susanti ◽  
Merryana Adriani ◽  
Annis Catur Adi
Keyword(s):  
Diabetes Mellitus ◽  
Insulin Resistance ◽  
Blood Sugar ◽  
Allium Sativum ◽  
Oral Antidiabetic Drugs ◽  
Traditional Treatment ◽  
Insulin Levels ◽  
Oral Antidiabetic ◽  
The Mean ◽  
Sugar Levels

Oral antidiabetic drugs mostly give unwanted side effects, so it is necessary to develop a traditional treatment system for diabetes mellitus which is relatively safe. The purpose of this study was to determine the effect of single clove garlic on decreasing blood sugar levels, decreasing malondialdehyde levels, increasing insulin levels, and decreasing insulin resistance in experimental rats induced by streptozotocin 50 mg / KgBB. (P1) therapy of single clove garlic 50 mg/kgBB, (P2) therapy of single clove of garlic 75 mg/KgBB, (P3) therapy of single clove of garlic 125 mg/KgBB. The most effective dose in this study was 125 mg/KgBB. Comparison test the mean of each group with the Manova test. The flavonoids in single clove garlic have been shown to be powerful agents to reduce the pathogenesis of diabetes and its complications.

scholarly journals A Comparative Study of Gallic Acid, Ellagic Acid, Urolithin A, and Urolithin B with NF-κB Protein as Anti Type 2 Diabetes Mellitus by In Silico

JSMARTech ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 31-35
Author(s):  
Maulida Hikmaranti ◽  
◽  
Ajeng M. Astiyani ◽  
Khairul M. Hasanah ◽  
Nuril M. Maghfiroh ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Comparative Study ◽  
Gallic Acid ◽  
Ellagic Acid ◽  
In Silico ◽  
Urolithin A ◽  
Urolithin B

scholarly journals Evaluation of Pharmacokinetic Properties, Toxicity, and Bioactive Cytotoxic Activity of Black Rice (Oryza sativa L.) as Candidates for Diabetes Mellitus Drugs by in silico

2021 ◽  
Vol 11 (4) ◽  
pp. 12301-12311
Keyword(s):  
Diabetes Mellitus ◽  
Oryza Sativa ◽  
Cytotoxic Activity ◽  
In Silico ◽  
Oryza Sativa L ◽  
Test Results ◽  
Black Rice ◽  
Drug Candidates ◽  
Pharmacokinetic Properties ◽  
Β Carotene

The in silico method is widely used to search for drug candidates, namely by predicting physicochemical properties, pharmacokinetics (ADME), toxicity, know the description of drug interactions with target proteins, Rerank Score (RS), and then carried out the Molecular Docking (MD) process. This study intends to predict the physicochemical, pharmacokinetics (ADME) properties, toxicity, and cytotoxic activity of 15 bioactive compounds in black rice (Oryza sativa L.) drug candidates for diabetes mellitus using the GLP-1 target protein. The In silico test results showed that campesterol ferulate, cycloartenol ferulate, lutein, β-carotene, and zeaxanthin found in black rice have physicochemical, pharmacokinetic (ADME), toxicity, and better Rerank Score (RS) properties than omarigliptin (drug). Black rice can also be safely recommended to be consumed by people with diabetes mellitus.

scholarly journals Open access in silico tools to predict the ADMET profiling and PASS (Prediction of Activity Spectra for Substances of Bioactive compounds of Garlic (Allium sativum L.)

2021 ◽  
Author(s):  
Ivan Vito Ferrari
Keyword(s):  
Open Access ◽  
Bioactive Compounds ◽  
In Silico ◽  
Allium Sativum ◽  
Bioactive Components ◽  
Bioinformatics Tool ◽  
Prediction Tools ◽  
Open Access Database ◽  
Database Servers ◽  
In Silico Tools

Background: Garlic (Allium sativum L.) is a common spice with many health benefits, mainly due to its diverse bioactive compounds, (see below) such as organic sulphides, saponins, phenolic compounds, and polysaccharides. Several studies have demonstrated its functions such as anti-inflammatory, antibacterial, and antiviral, antioxidant, cardiovascular protective and anticancer property. In this work we have investigated the main bioactive components of garlic through a bioinformatics approach. Indeed, we are in an era of bioinformatics where we can predict data in the fields of medicine. Approaches with open access in silico tools have revolutionized disease management due to early prediction of the absorption, distribution, metabolism, excretion, and toxicity (ADMET) profiles of the chemically designed and eco-friendly next-generation drugs. Methods: This paper encompasses the fundamental functions of open access in silico prediction tools, as PASS database (Prediction of Activity Spectra for Substances) that it estimates the probable biological activity profiles for compounds. This paper also aims to help support new researchers in the field of drug design and to investigate best bioactive compounds in garlic. Results: Screening through each of pharmacokinetic criteria resulted in identification of Garlic compounds that adhere to all the ADMET properties. Conclusions: It was established an open-access database (PASS database, available bioinformatics tool SwissADME, PreADMET pkCSM database) servers were employed to determine the ADMET (metabolism, distribution, excretion, absorption, and toxicity) attributes of garlic molecules and to enable identification of promising molecules that follow ADMET properties.

scholarly journals Control neuro-fuzzy para páncreas artificial: desarrollo y validación in-silico

2020 ◽  
Vol 17 (4) ◽  
pp. 390
Author(s):  
Y. Rios ◽  
J. García-Rodríguez ◽  
E. Sánchez ◽  
A. Alanis ◽  
E. Ruiz-Velázquez ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
In Silico ◽  
Neuro Fuzzy

<p>La Diabetes Mellitus Tipo 1 (DMT1) es una de las enfermedades actuales más dañinas que afectan a personas de cualquier edad incluyendo niños desde el nacimiento. Las inyecciones de insulina exógena siguen siendo el tratamiento más común para estos pacientes, sin embargo, no es el óptimo. La comunidad científica se ha esforzado en optimizar el suministro de insulina usando dispositivos electrónicos y de esta manera mejorar la esperanza de vida de los diabéticos. Existen numerosas limitaciones para que esta evolución biomédica sea realidad tales como la validación de algoritmos controladores, experimentación con dispositivos electrónicos, aplicabilidad en pacientes de diferentes edades, entre otras. Este trabajo presenta el prototipado de un controlador inteligente neuro-fuzzy en la tarjeta LAUNCHXL-F28069M de Texas Instruments para formar un esquema de hardware en el lazo (HIL). Esto es, el controlador embebido manda los datos de la tasa de suministro de insulina al computador donde se capturan por el software Uva/Padova y se integran a la simulación metabólica de pacientes diabéticos virtuales tratados con bomba de insulina. Una tarea principal del algoritmo inteligente embebido es determinar la tasa óptima de infusión insulínica para cada uno de los 30 pacientes virtuales disponibles, los cuales llevan un protocolo de comida. La novedad de este trabajo se centra en superar las limitaciones actuales a través de un primer enfoque de algoritmo de control inteligente aplicable al páncreas artificial (PA) y analizar la factibilidad de esta propuesta en la trascendencia con la edad ya que los resultados corresponden a pruebas in-silico en poblaciones de 10 adultos, 10 adolescentes y 10 niños.</p>

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