AIMC Topic: Sitagliptin Phosphate

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Identification of active compounds as novel dipeptidyl peptidase-4 inhibitors through machine learning and structure-based molecular docking simulations.

Journal of biomolecular structure & dynamics Dec 15, 2023
The enzyme dipeptidyl peptidase 4 (DPP4) is a potential therapeutic target for type 2 diabetes (T2DM). Many synthetic anti-DPP4 medications are available to treat T2DM. The need for secure and efficient medicines has been unmet due to the adverse sid...
Structure-Activity Relationship Molecular Dynamics Simulation Protein Binding Sitagliptin Phosphate Dipeptidyl-Peptidase IV Inhibitors Binding Sites Dipeptidyl Peptidase 4 Machine Learning Diabetes Mellitus, Type 2 Molecular Docking Simulation Humans Neural Networks, Computer
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Simultaneous ultra-trace quantitative colorimetric determination of antidiabetic drugs based on gold nanoparticles aggregation using multivariate calibration and neural network methods.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Mar 12, 2020
In this study, a simple and rapid method was investigated for the simultaneous ultra-trace colorimetric determination of Metformin (MET) and Sitagliptin (STG) based on the aggregation of gold nanoparticles (AuNPs). The Morphology and size distributio...
Least-Squares Analysis Metformin Metal Nanoparticles Analysis of Variance Spectrophotometry, Ultraviolet Multivariate Analysis Calibration Colorimetry Gold Hypoglycemic Agents Neural Networks, Computer Reproducibility of Results Sitagliptin Phosphate
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Prediction of Side Effects Using Comprehensive Similarity Measures.

BioMed research international Feb 27, 2020
Identifying the potential side effects of drugs is crucial in clinical trials in the pharmaceutical industry. The existing side effect prediction methods mainly focus on the chemical and biological properties of drugs. This study proposes a method th...
Dasatinib Humans Polymorphism, Single Nucleotide Machine Learning Sitagliptin Phosphate Clonidine Vorinostat Drug-Related Side Effects and Adverse Reactions Area Under Curve Drug Repositioning Drug Interactions
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Learning Effective Treatment Pathways for Type-2 Diabetes from a clinical data warehouse.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Treatment guidelines for management of type-2 diabetes mellitus (T2DM) are controversial because existing evidence from randomized clinical trials do not address many important clinical questions. Data from Electronic Medical Records (EMRs) has been ...
Consolidation Chemotherapy Sitagliptin Phosphate Critical Pathways Middle Aged Female Diabetes Mellitus, Type 2 Metformin Machine Learning Male Adult Proportional Hazards Models Electronic Health Records Aged Glycated Hemoglobin Hypoglycemic Agents Humans
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