Studi In Silico Senyawa dalam Daun Sirih (Piper betle L.) sebagai Inhibitor Enzim Asetilkolinesterase (AChE) pada Penyakit Alzheimer

Az-Zahra, Farhah; Afidika, Janifa; Diamantha, Sagung D. A.; Rahmani, Almeira E.; Fatimah, Syifa; Aulifa, Diah L.; Elaine, Angela A.; Sitinjak, Bernap D. P.

doi:10.24198/ijbp.v2i2.40462

Cited by 3 publications

(2 citation statements)

References 6 publications

(7 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The characteristics of this disease are dementia which often begins with a decrease in the ability to remember. Reduced memory or the ability to identify something which is then aggravated due to disorders of the brain that are increased in nature so that sufferers experience the inability to remember or recognize something [18].…”

Section: Alzheimer 'Smentioning

confidence: 99%

Implementation of Naïve Bayes Classifier for Classifying Alzheimer’s Disease Using the K-Means Clustering Data Sharing Technique

Putri,

Hastari,

Faizah

et al. 2023

PREDATECS

View full text Add to dashboard Cite

Alzheimer's disease is a neurodegenerative disease that is very universal and characterized by memory loss and cognitive function decline which ultimately leads to dementia. In 2015, it is estimated that around million people worldwide will suffer from Alzheimer's disease or dementia. Globally, the number of Alzheimer's diseases will increase from 26.6 million in 2006 to 106.8 million cases in 2050. Due to the large number of people with Alzheimer's disease, it is necessary to classify symptoms that lead to indicators of Alzheimer's disease, so that data mining methods are used for data processing. Alzheimer's data taken from Kaggle amounted to 373 records, through the stages of data preprocessing, data sharing using the Hold-Out method and clustering with AK-Means algorithm. The data is processed using data mining techniques using NBC algorithms. Validation testing the accuracy value obtained the result that the NBC algorithm with K-Means Clustering data sharing has relatively better accuracy than the hold-Out method of 91.89%.

show abstract

Section: Alzheimer 'Smentioning

confidence: 99%

Implementation of Naïve Bayes Classifier for Classifying Alzheimer’s Disease Using the K-Means Clustering Data Sharing Technique

Putri,

Hastari,

Faizah

et al. 2023

PREDATECS

View full text Add to dashboard Cite

show abstract

“…Glycitein Remdesivir Gambar 1. Visualisasi interaksi protein-ligan Selanjutnya, nilai Ki mengindikasikan konsentrasi yang diperlukan untuk mencapai setengah dari penghambatan maksimum, dan nilai Ki yang lebih kecil menunjukkan afinitas ligan yang lebih kuat terhadap makromolekul [35]. Dalam Tabel 1, terlihat bahwa 5 senyawa flavonoid menunjukkan afinitas yang kuat terhadap reseptor RdRp dengan PDB id.…”

Section: Biochanin a Daidzein Formonetin Genisteinunclassified

Studi In Silico Senyawa Flavonoid dalam Mengambat RNA-dependent RNA polymerase (RdRp) sebagai Antivirus COVID-19

Muslikh¹,

Pratama

Ma’arif

et al. 2023

J. Islamic Pharm.

View full text Add to dashboard Cite

Pada akhir tahun 2019, muncul coronavirus disease 2019 (COVID-19) yang disebabkan oleh severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), yang menjadi ancaman serius bagi kesehatan masyarakat global sampai saat ini. Seiring berjalannya waktu, pengembangan drug repurposing telah menjadi metode yang efektif dalam penemuan obat baru. Flavonoid merupakan golongan senyawa yang telah dikenal memiliki aktivitas antivirus. Oleh karena itu, tujuan dari penelitian ini adalah untuk mengidentifikasi lima senyawa flavonoid (Genistein, Daidzein, Glycitein, Formonoetin, dan Biochanin A) yang sudah dikenal memiliki berbagai manfaat farmakologi dalam menghambat aktivitas RdRp SARS-CoV-2. Untuk melakukan analisis, metode molecular docking digunakan dengan menggunakan software AutoDockTools 1.5.6. Prediksi sifat farmakokinetik dan farmakodinamik dilakukan dengan menggunakan SwissADME, sedangkan untuk mengevaluasi toksisitas, digunakan ProTox II. Hasil molecular docking menunjukkan bahwa kelima senyawa flavonoid memiliki hasil yang lebih baik dibandingkan dengan senyawa kontrol positif remdesivir. Selain itu, hasil prediksi sifat farmakokinetik, farmakodinamik, dan toksisitas menunjukkan bahwa Biochanin A, Glycitein, Genistein, dan Formonoetin memiliki potensi terbaik untuk dikembangkan sebagai obat antivirus COVID-19 dengan kemampuan mengikat reseptor RdRp dengan PDB id. 6M71.

show abstract

Predicting anti-COVID-19 potential: in silico analysis of Mauritine compound from Ziziphus-spina christi as a promising papain-like protease (PLpro) inhibitor

Fakih,

Darusman,

Apriliani

et al. 2024

Journal of Biomolecular Structure and Dynamics

View full text Add to dashboard Cite

The COVID-19 pandemic caused by the SARS-CoV-2 virus, recognized by the World Health Organization (WHO), has led to 164,523,894 confirmed cases and 3,412,032 deaths globally as of May 20, 2021. SARS-CoV-2 encodes crucial proteases for its replication cycle, including the papain-like protease (PLpro), presenting a potential target for developing COVID-19 treatments. Mauritine, a cyclopeptide alkaloid found in the Ziziphus-spina christi plant, exhibits antiviral properties and was investigated for its affinity and toxicity towards PLpro using molecular docking through MGLTools 1.5.6 with Autodock Tools 4.2. Preceding this, toxicity and ADME prediction were performed via Toxtree 3.1.0 software and SwissADME servers. Results from molecular docking revealed free binding energy values

show abstract

Studi In Silico Senyawa dalam Daun Sirih (Piper betle L.) sebagai Inhibitor Enzim Asetilkolinesterase (AChE) pada Penyakit Alzheimer

Cited by 3 publications

References 6 publications

Implementation of Naïve Bayes Classifier for Classifying Alzheimer’s Disease Using the K-Means Clustering Data Sharing Technique

Implementation of Naïve Bayes Classifier for Classifying Alzheimer’s Disease Using the K-Means Clustering Data Sharing Technique

Studi In Silico Senyawa Flavonoid dalam Mengambat RNA-dependent RNA polymerase (RdRp) sebagai Antivirus COVID-19

Predicting anti-COVID-19 potential: in silico analysis of Mauritine compound from Ziziphus-spina christi as a promising papain-like protease (PLpro) inhibitor

Contact Info

Product

Resources

About