Considerations and challenges for sex-aware drug repurposing

JL Fisher, EF Jones, VL Flanary, AS Williams… - Biology of sex …, 2022 - Springer
Sex differences are essential factors in disease etiology and manifestation in many diseases
such as cardiovascular disease, cancer, and neurodegeneration. The biological influence of …

Computational pipeline for rational drug combination screening in patient-derived cells

P Athanasiadis, A Ianevski, SS Skånland… - Data Mining Techniques …, 2022 - Springer
In many complex diseases, such as cancers, resistance to monotherapies easily occurs, and
longer-term treatment responses often require combinatorial therapies as next-line …

Evaluating a therapeutic window for precision medicine by integrating genomic profiles and p53 network dynamics

M Choi, SM Park, KH Cho - Communications Biology, 2022 - nature.com
The response variation to anti-cancer drugs originates from complex intracellular network
dynamics of cancer. Such dynamic networks present challenges to determining optimal drug …

Bimodal gene expression in patients with cancer provides interpretable biomarkers for drug sensitivity

W Ba-Alawi, SK Nair, B Li, A Mammoliti, P Smirnov… - Cancer research, 2022 - AACR
Identifying biomarkers predictive of cancer cell response to drug treatment constitutes one of
the main challenges in precision oncology. Recent large-scale cancer pharmacogenomic …

Node metadata can produce predictability crossovers in network inference problems

O Fajardo-Fontiveros, R Guimerà, M Sales-Pardo - Physical Review X, 2022 - APS
Network inference is the process of learning the properties of complex networks from data.
Besides using information about known links in the network, node attributes and other forms …

Discovery of druggable cancer-specific pathways with application in acute myeloid leukemia

QT Trac, T Zhou, Y Pawitan, TN Vu - GigaScience, 2022 - academic.oup.com
An individualized cancer therapy is ideally chosen to target the cancer's driving biological
pathways, but identifying such pathways is challenging because of their underlying …

Learning low degree hypergraphs

E Balkanski, O Hanguir, S Wang - Conference on Learning …, 2022 - proceedings.mlr.press
We study the problem of learning a hypergraph via edge detecting queries. In this problem,
a learner queries subsets of vertices of a hidden hypergraph and observes whether these …

Synthetic lethal gene pairs: Experimental approaches and predictive models

S Tang, B Gökbağ, K Fan, S Shao, Y Huo, X Wu… - Frontiers in …, 2022 - frontiersin.org
Synthetic lethality (SL) refers to a genetic interaction in which the simultaneous perturbation
of two genes leads to cell or organism death, whereas viability is maintained when only one …

Can artificial intelligence accelerate preclinical drug discovery and precision medicine?

A Farnoud, AJ Ohnmacht, M Meinel… - Expert Opinion on Drug …, 2022 - Taylor & Francis
An average cost of $314 million to $2.8 billion is associated with the development of a new
drug with a minimum development period of ten years [1]. The traditional drug discovery …

Dissecting the genome for drug response prediction

G Pepe, C Carrino, L Parca… - Data Mining Techniques …, 2022 - Springer
The prediction of the cancer cell lines sensitivity to a specific treatment is one of the current
challenges in precision medicine. With omics and pharmacogenomics data being available …