[HTML][HTML] A systematic review of computational approaches to understand cancer biology for informed drug repurposing

F Ahmed, A Samantasinghar, AM Soomro, S Kim… - Journal of Biomedical …, 2023 - Elsevier
Cancer is the second leading cause of death globally, trailing only heart disease. In the
United States alone, 1.9 million new cancer cases and 609,360 deaths were recorded for …

Time‐delayed models of gene regulatory networks

K Parmar, KB Blyuss, YN Kyrychko… - … methods in medicine, 2015 - Wiley Online Library
We discuss different mathematical models of gene regulatory networks as relevant to the
onset and development of cancer. After discussion of alternative modelling approaches, we …

[HTML][HTML] A machine learning and directed network optimization approach to uncover TP53 regulatory patterns

CP Triantafyllidis, A Barberis, F Hartley, AM Cuervo… - Iscience, 2023 - cell.com
TP53, the Guardian of the Genome, is the most frequently mutated gene in human cancers
and the functional characterization of its regulation is fundamental. To address this we …

Identification of critical regulatory genes in cancer signaling network using controllability analysis

V Ravindran, V Sunitha, G Bagler - Physica A: Statistical Mechanics and its …, 2017 - Elsevier
Cancer is characterized by a complex web of regulatory mechanisms which makes it difficult
to identify features that are central to its control. Molecular integrative models of cancer …

Comparative analysis of differential network modularity in tissue specific normal and cancer protein interaction networks

MF Islam, MM Hoque, RS Banik, S Roy… - Journal of clinical …, 2013 - Springer
Background Large scale understanding of complex and dynamic alterations in cellular and
subcellular levels during cancer in contrast to normal condition has facilitated the …

[PDF][PDF] Changes in protein interaction networks between normal and cancer conditions: Total chaos or ordered disorder?

KMT Rahman, MF Islam, RS Banik, U Honi… - Network …, 2013 - academia.edu
New insights to understand the dynamics of enormous modifications during cancer in
comparison to healthy condition have made the ground for the emergence of sophisticated …

Data Mining Mycobacterium tuberculosis Pathogenic Gene Transcription Factors and Their Regulatory Network Nodes

G Yuan, Y Bai, Y Zhang, G Xu - International Journal of …, 2018 - Wiley Online Library
Tuberculosis (TB) is one of the deadliest infectious diseases worldwide. In Mycobacterium
tuberculosis, changes in gene expression are highly variable and involve many genes, so …

Building Graphs To Describe Dynamics, Kinetics, and Energetics in the d-ALa:d-Lac Ligase VanA

N Duclert-Savatier, G Bouvier, M Nilges… - Journal of chemical …, 2016 - ACS Publications
The d-Ala: d-Lac ligase, VanA, plays a critical role in the resistance of vancomycin. Indeed, it
is involved in the synthesis of a peptidoglycan precursor, to which vancomycin cannot bind …

Modelling the role of dual specificity phosphatases in herceptin resistant breast cancer cell lines

P Buiga, A Elson, L Tabernero, JM Schwartz - Computational Biology and …, 2019 - Elsevier
Background Breast cancer remains the most lethal type of cancer for women. A significant
proportion of breast cancer cases are characterised by overexpression of the human …

Reconstructing the functional effect of TP53 somatic mutations on its regulon using causal signalling network modelling

CP Triantafyllidis, A Barberis, AM Cuervo, E Gjerga… - bioRxiv, 2022 - biorxiv.org
The gene encoding tumor protein p53 (TP53) is the most frequently mutated gene in human
cancer. Mutations in both coding and non-coding regions of TP53 can disrupt the regulatory …