In Silico Models for Drug Resistance [PDF]
, 2013 Resistance to drugs that treat infectious disease is a major problem worldwide. The rapid emergence of drug resistance is not well understood. We present two in silico models for the discovery of drug resistance mechanisms and for combating the evolution of resistance, respectively.
Fatumo, S. +2 more
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Uncertainty assessment of proarrhythmia predictions derived from multi-level in silico models. [PDF]
Arch Toxicol, 2023 [EN] These datasets were generated to train ("PopulationDrugsTrainingKrNaLCaL.xlsx") and test ("PopulationDrugsTestKrCaLNaL.xlsx") the uncertainty assessment models developed in the paper "Uncertainty assessment of proarrhythmia predictions derived from ...
Kopańska K +5 more
europepmc +3 more sources
In Silico Models for Anti-COVID-19 Drug Discovery: A Systematic Review. [PDF]
Adv Pharmacol Pharm Sci, 2023 The coronavirus disease 2019 (COVID-19) is a severe worldwide pandemic. Due to the emergence of various SARS-CoV-2 variants and the presence of only one Food and Drug Administration (FDA) approved anti-COVID-19 drug (remdesivir), the disease remains a ...
Onyango OH.
europepmc +2 more sources
Effects of Differing Underlying Assumptions in In Silico Models on Predictions of DNA Damage and Repair. [PDF]
Radiat Res, 2023 The induction and repair of DNA double-strand breaks (DSBs) are critical factors in the treatment of cancer by radiotherapy. To investigate the relationship between incident radiation and cell death through DSB induction many in silico models have been ...
Warmenhoven JW +9 more
europepmc +3 more sources
The socioeconomic impact of in-silico models for implantable medical devices: a conceptual framework [PDF]
Eur J Public Health, 2023 The use of in-silico technologies for implantable medical devices has gained importance in the last decade. From a medical perspective, the term ‘in-silico’ mainly refers to computer simulations of clinical trials based on virtual cohorts.
Eisenberg, S +4 more
europepmc +2 more sources
Novel Thiosemicarbazone Quantum Dots in the Treatment of Alzheimer's Disease Combining In Silico Models Using Fingerprints and Physicochemical Descriptors. [PDF]
ACS Omega, 2023 Searching for thiosemicarbazone derivatives with the potential to inhibit acetylcholinesterase for the treatment of Alzheimer’s disease (AD) is an important current goal.
Minh Quang N +8 more
europepmc +2 more sources
Mechanisms of aortic dissection: From pathological changes to experimental and <i>in silico</i> models. [PDF]
Prog Mater SciAortic dissection continues to be responsible for significant morbidity and mortality, although recent advances in medical data assimilation and in experimental and in silico models have improved our understanding of the initiation and progression of the
Rolf-Pissarczyk M +6 more
europepmc +3 more sources
In Silico Hemostasis Modeling and Prediction [PDF]
Hämostaseologie, 2020 AbstractComputational physiology, i.e., reproduction of physiological (and, by extension, pathophysiological) processes in silico, could be considered one of the major goals in computational biology. One might use computers to simulate molecular interactions, enzyme kinetics, gene expression, or whole networks of biochemical reactions, but it is (patho)
Dmitry Y, Nechipurenko +3 more
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Assessment of Vehicle Volatility and Deposition Layer Thickness in Skin Penetration Models
Pharmaceutics, 2021 Systemic disposition of dermally applied chemicals is often formulation-dependent. Rapid evaporation of the vehicle can result in crystallization of active compounds, limiting their degree of skin penetration.
Abdullah Hamadeh +2 more
doaj +1 more source
Towards in silico Models of the Inflammatory Response in Bone Fracture Healing. [PDF]
Front Bioeng Biotechnol, 2021 In silico modeling is a powerful strategy to investigate the biological events occurring at tissue, cellular and subcellular level during bone fracture healing.
Lafuente-Gracia L +3 more
europepmc +3 more sources