AIMC Topic: Serine Endopeptidases
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Enhancing HCV NS3 Inhibitor Classification with Optimized Molecular Fingerprints Using Random Forest.
International journal of molecular sciences
Mar 17, 2025
The classification of Hepatitis C virus (HCV) NS3 inhibitors is essential for identifying potential antiviral agents through computational methods. This study aims to develop an optimized machine learning (ML) model using random forest (RF) and molec...
Machine-Learning Approach to Identify Potential Dengue Virus Protease Inhibitors: A Computational Perspective.
The journal of physical chemistry. B
Nov 1, 2024
The global prevalence of dengue virus (DENV), a widespread flavivirus, has led to varied epidemiological impacts, economic burdens, and health consequences. The alarming increase in infections is exacerbated by the absence of approved antiviral agent...
MicroRNA classification and discovery for major depressive disorder diagnosis: Towards a robust and interpretable machine learning approach.
Journal of affective disorders
May 22, 2024
BACKGROUND: Major depressive disorder (MDD) is notably underdiagnosed and undertreated due to its complex nature and subjective diagnostic methods. Biomarker identification would help provide a clearer understanding of MDD aetiology. Although machine...
Target-Centered Drug Repurposing Predictions of Human Angiotensin-Converting Enzyme 2 (ACE2) and Transmembrane Protease Serine Subtype 2 (TMPRSS2) Interacting Approved Drugs for Coronavirus Disease 2019 (COVID-19) Treatment through a Drug-Target Interaction Deep Learning Model.
Viruses
Nov 18, 2020
Previously, our group predicted commercially available Food and Drug Administration (FDA) approved drugs that can inhibit each step of the replication of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using a deep learning-based drug-ta...
Higher serum levels of fibroblast growth factor 21 in old patients with cachexia.
Nutrition (Burbank, Los Angeles County, Calif.)
Nov 22, 2018
OBJECTIVE: Fibroblast growth factor (FGF)21 is promptly induced by short fasting in animal models to regulate glucose and fat metabolism. Data on FGF21 in humans are inconsistent and FGF21 has not yet been investigated in old patients with cachexia, ...
Purification and characterization of a protease from the visceral mass of Mytella charruana and its evaluation to obtain antimicrobial peptides.
Food chemistry
Nov 14, 2017
This work describes purification of a protease from the visceral mass of the mussel Mytella charruana as well as evaluation of its ability to hydrolyze milk casein to generate antimicrobial peptides. The enzyme showed pI of 4.1 and a single polypepti...
Semi-Supervised, Attention-Based Deep Learning for Predicting TMPRSS2:ERG Fusion Status in Prostate Cancer Using Whole Slide Images.
Molecular cancer research : MCR
Apr 2, 2024
Our study illuminates the potential of deep learning in effectively inferring key prostate cancer genetic alterations from the tissue morphology depicted in routinely available histology slides, offering a cost-effective method that could revolutioni...
First steps in automatic summarization of transcription factor properties for RegulonDB: classification of sentences about structural domains and regulated processes.
Database : the journal of biological databases and curation
Jan 1, 2017
RegulonDB, http://regulondb.ccg.unam.mx.
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