Cancer systems biology and modeling: microscopic scale and multiscale approaches
Cancer has become known as a complex and systematic disease on macroscopic,
mesoscopic and microscopic scales. Systems biology employs state-of-the-art …
mesoscopic and microscopic scales. Systems biology employs state-of-the-art …
Quantitative modeling to understand cell signaling in the tumor microenvironment
Tumor cells play a central role in multiple processes associated with cancer progression.
They continuously interact with surrounding cells and the extracellular matrix, displaying …
They continuously interact with surrounding cells and the extracellular matrix, displaying …
BioModels: content, features, functionality, and use
N Juty, R Ali, M Glont, S Keating… - CPT …, 2015 - Wiley Online Library
BioModels is a reference repository hosting mathematical models that describe the dynamic
interactions of biological components at various scales. The resource provides access to …
interactions of biological components at various scales. The resource provides access to …
[HTML][HTML] An efficient procedure to assist in the re-parametrization of structurally unidentifiable models
D Joubert, JD Stigter, J Molenaar - Mathematical biosciences, 2020 - Elsevier
An efficient method that assists in the re-parametrization of structurally unidentifiable models
is introduced. It significantly reduces computational demand by combining numerical and …
is introduced. It significantly reduces computational demand by combining numerical and …
An evolutionary differential game for regulating the role of monoclonal antibodies in treating signalling pathways in oesophageal cancer
M Alajmi, S Roy - Royal Society Open Science, 2024 - royalsocietypublishing.org
This work presents a new framework for a competitive evolutionary game between
monoclonal antibodies and signalling pathways in oesophageal cancer. The framework is …
monoclonal antibodies and signalling pathways in oesophageal cancer. The framework is …
Weak-binding molecules are not drugs?—toward a systematic strategy for finding effective weak-binding drugs
Designing maximally selective ligands that act on individual drug targets with high binding
affinity has been the central dogma of drug discovery and development for the past two …
affinity has been the central dogma of drug discovery and development for the past two …
In silico identification of potential key regulatory factors in smoking-induced lung cancer
Background Lung cancer is a leading cause of cancer-related death worldwide and is the
most commonly diagnosed cancer. Like other cancers, it is a complex and highly …
most commonly diagnosed cancer. Like other cancers, it is a complex and highly …
Leveraging structured biological knowledge for counterfactual inference: a case study of viral pathogenesis
Counterfactual inference is a useful tool for comparing outcomes of interventions on
complex systems. It requires us to represent the system in form of a structural causal model …
complex systems. It requires us to represent the system in form of a structural causal model …
A robust optimal control framework for controlling aberrant RTK signaling pathways in esophageal cancer
This study presents a new framework for obtaining personalized optimal treatment strategies
targeting aberrant signaling pathways in esophageal cancer, such as the epidermal growth …
targeting aberrant signaling pathways in esophageal cancer, such as the epidermal growth …
Проблемы измерения и моделирования тепловых и радиационных полей в биотканях: анализ данных микроволновой термометрии
АГ Лосев, АВ Хоперсков, АС Астахов… - Математическая …, 2015 - cyberleninka.ru
Отсутствие достаточно полного качественного и количественного описания поведения
температурных полей в различных органах человека, как при наличии патологических …
температурных полей в различных органах человека, как при наличии патологических …