A comparative analytical review on machine learning methods in Drugtarget interactions prediction

Z Nikraftar, MR Keyvanpour - Current Computer-Aided Drug …, 2023 - ingentaconnect.com
Background: Predicting drug-target interactions (DTIs) is an important topic of study in the
field of drug discovery and development. Since DTI prediction in vitro studies is very …

Screening of potential Indonesia herbal compounds based on multi-label classification for 2019 coronavirus disease

A Fadli, WA Kusuma, Annisa, I Batubara… - Big Data and Cognitive …, 2021 - mdpi.com
Coronavirus disease 2019 pandemic spreads rapidly and requires an acceleration in the
process of drug discovery. Drug repurposing can help accelerate the drug discovery process …

Prediction of the interaction between Calloselasma rhodostoma venom-derived peptides and cancer-associated hub proteins: A computational study

WA Kusuma, A Fadli, R Fatriani, F Sofyantoro… - Heliyon, 2023 - cell.com
The use of peptide drugs to treat cancer is gaining popularity because of their efficacy, fewer
side effects, and several advantages over other properties. Identifying the peptides that …

AutoMF: A hybrid matrix factorization model with deep learning to select anti-viral drugs for Covid-19

SZ Sajadi, SM Sadjadi, MAZ Chahooki - Journal of Computational Science, 2023 - Elsevier
In the wake of the novel Covid-19 disease pandemic, the global economy has been affected
and health crises are widespread. The disease is still incurable, and no effective treatment …

Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm

WA Kusuma, ZI Habibi, MF Amir, A Fadli… - Frontiers in …, 2022 - frontiersin.org
Jamu is an Indonesian traditional herbal medicine that has been practiced for generations.
Jamu is made from various medicinal plants. Each plant has several compounds directly …

Regression Algorithms in Predicting the SARS-CoV-2 Replicase Polyprotein 1ab Inhibitor: A Comparative Study

DF Sengkey, A Masengi - Journal of Electronics, Electromedical …, 2024 - jeeemi.org
Due to its extensive steps and trials, drug discovery is a long and expensive process. In the
last decade, as also hard pressed by the COVID-19 pandemic, the screening process could …

[HTML][HTML] Potential SARS-CoV-2 nonstructural proteins inhibitors: drugs repurposing with drug-target networks and deep learning

SK Azmoodeh, IF Tsigelny… - Frontiers in Bioscience …, 2022 - imrpress.com
Background: In the current COVID-19 pandemic, with an absence of approved drugs and
widely accessible vaccines, repurposing existing drugs is vital to quickly developing a …

Random forest to predict eucalyptus as a potential herb in preventing covid19

NS Ramadhanti, WA Kusuma… - … IEEE Conference on …, 2021 - ieeexplore.ieee.org
The covid-19 pandemic had been on the rise since the beginning of 2020. In Indonesia
itself, the first case was identified on 3rd March 2020, then peaked at around the end of …

Introductory chapter: The emerging corner of the omics studies for rational drug design

AA Parikesit - Drug Design-Novel Advances in the Omics Field …, 2021 - books.google.com
The Acceleration of COVID-19 research in Proteomics and Transcriptomics studies occurred
swiftly due to the massive amount of investment and advances in biomanufacturing [1, 2] …

ComPuDTIK: Computational Prediction of Drug-Target Interactions in Kinases

E Uma, A Yashwanth, B Pravinbabu… - 2023 12th …, 2023 - ieeexplore.ieee.org
Drug discovery is an intricate and expensive process that involves studying interactions
between chemical compounds and protein targets, which are essential for genomic drug …