Cancer systems biology and modeling: microscopic scale and multiscale approaches

A Masoudi-Nejad, G Bidkhori, SH Ashtiani… - Seminars in cancer …, 2015 - Elsevier
Cancer has become known as a complex and systematic disease on macroscopic,
mesoscopic and microscopic scales. Systems biology employs state-of-the-art …

Quantitative modeling to understand cell signaling in the tumor microenvironment

M Song, D Li, SZ Makaryan, SD Finley - Current Opinion in Systems …, 2021 - Elsevier
Tumor cells play a central role in multiple processes associated with cancer progression.
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 …

[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 …

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 …

Weak-binding molecules are not drugs?—toward a systematic strategy for finding effective weak-binding drugs

J Wang, Z Guo, Y Fu, Z Wu, C Huang… - Briefings in …, 2017 - academic.oup.com
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 …

In silico identification of potential key regulatory factors in smoking-induced lung cancer

SA El-Aarag, A Mahmoud, MH Hashem… - BMC medical …, 2017 - Springer
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 …

Leveraging structured biological knowledge for counterfactual inference: a case study of viral pathogenesis

J Zucker, K Paneri, S Mohammad-Taheri… - … Transactions on Big …, 2021 - ieeexplore.ieee.org
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 …

A robust optimal control framework for controlling aberrant RTK signaling pathways in esophageal cancer

S Roy, Z Pan, N Abu Qarnayn, M Alajmi… - Journal of Mathematical …, 2024 - Springer
This study presents a new framework for obtaining personalized optimal treatment strategies
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 …