AIMC Topic: Alanine

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Tenofovir alafenamide versus tenofovir disoproxil fumarate for the treatment of HBeAg-positive chronic hepatitis B virus infection: a randomised, double-blind, phase 3, non-inferiority trial.

The lancet. Gastroenterology & hepatology Sep 22, 2016
BACKGROUND: Tenofovir alafenamide is a novel prodrug formulated to deliver the active metabolite to target cells more efficiently than tenofovir disoproxil fumarate at a lower dose, thereby reducing systemic exposure. In patients with HIV, tenofovir ...
Tenofovir Hepatitis B, Chronic Adult Hepatitis B e Antigens Male Middle Aged Treatment Outcome Aged Follow-Up Studies Aged, 80 and over Double-Blind Method Humans Young Adult Adolescent Biomarkers Viral Load Female Adenine Antiviral Agents Alanine
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A deep learning and molecular modeling approach to repurposing Cangrelor as a potential inhibitor of Nipah virus.

Scientific reports May 12, 2025
Deforestation, urbanization, and climate change have significantly increased the risk of zoonotic diseases. Nipah virus (NiV) of Paramyxoviridae family and Henipavirus genus is transmitted by Pteropus bats. Climate-induced changes in bat migration pa...
Deep Learning Antiviral Agents Drug Repositioning Humans Animals Models, Molecular Nipah Virus Molecular Docking Simulation Molecular Dynamics Simulation RNA-Dependent RNA Polymerase Alanine Adenosine Monophosphate Henipavirus Infections
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Examination of the relationship between D-amino acid profiles and cognitive function in individuals with mild cognitive impairment: a machine learning approach.

The international journal of neuropsychopharmacology Apr 11, 2025
BACKGROUND: The global prevalence of dementia is significantly increasing. Early detection and prevention strategies, particularly for mild cognitive impairment (MCI), are crucial but currently hindered by the lack of established biomarkers. Here, we...
Humans Female Cross-Sectional Studies Neural Networks, Computer Aged Proline Cognitive Dysfunction Machine Learning Male Aged, 80 and over Biomarkers Alanine Middle Aged Support Vector Machine
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COVID-19 Patients Benefitting From Remdesivir for Improved Survival: A Neural Network-Based Approach.

Journal of medical virology Mar 1, 2025
Conflicting results from randomized trials regarding the efficacy of remdesivir for COVID-19 have been reported. We aimed to develop a neural network (NN) to identify COVID-19 patients who would derive the greatest survival benefit from remdesivir. T...
SARS-CoV-2 Aged Male Neural Networks, Computer COVID-19 Female COVID-19 Drug Treatment Alanine Adenosine Monophosphate Middle Aged Antiviral Agents Treatment Outcome Humans
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Explaining reaction coordinates of alanine dipeptide isomerization obtained from deep neural networks using Explainable Artificial Intelligence (XAI).

The Journal of chemical physics Apr 21, 2022
A method for obtaining appropriate reaction coordinates is required to identify transition states distinguishing the product and reactant in complex molecular systems. Recently, abundant research has been devoted to obtaining reaction coordinates usi...
Neural Networks, Computer Artificial Intelligence Alanine Isomerism Dipeptides
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Deep learning identifies synergistic drug combinations for treating COVID-19.

Proceedings of the National Academy of Sciences of the United States of America Sep 28, 2021
Effective treatments for COVID-19 are urgently needed. However, discovering single-agent therapies with activity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been challenging. Combination therapies play an important role i...
Adenosine Monophosphate COVID-19 Drug Treatment Drug Synergism Alanine Drug Combinations Cell Survival Drug Interactions Deep Learning Antiviral Agents Humans SARS-CoV-2
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Application of machine intelligence technology in the detection of vaccines and medicines for SARS-CoV-2.

European review for medical and pharmacological sciences Nov 1, 2020
Researchers have found many similarities between the 2003 severe acute respiratory syndrome (SARS) virus and SARS-CoV-19 through existing data that reveal the SARS's cause. Artificial intelligence (AI) learning models can be created to predict drug s...
COVID-19 Vaccines Drug Development Antibodies, Monoclonal, Humanized Drug Repositioning Vitamins Drug Combinations Immunosuppressive Agents COVID-19 Deep Learning Antiviral Agents Humans Chloroquine Artificial Intelligence Ribavirin Hydroxychloroquine Machine Learning Alanine Ascorbic Acid Adenosine Monophosphate Lopinavir Ritonavir COVID-19 Drug Treatment
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Recognizing and Predicting Thioether Bridges Formed by Lanthionine and β-Methyllanthionine in Lantibiotics Using a Random Forest Approach with Feature Selection.

Combinatorial chemistry & high throughput screening Jan 1, 2017
BACKGROUND: Lantibiotics, which are usually produced from Gram-positive bacteria, are regarded as one type of special bacteriocins. Lantibiotics have unsaturated amino acid residues formed by lanthionine (Lan) and β-methyllanthionine (MeLan) residues...
Databases, Protein Machine Learning Sulfides Alanine Bacteriocins
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