Targeting stressor-induced dysfunctions in protein–protein interaction networks via epichaperomes

SD Ginsberg, S Sharma, L Norton, G Chiosis - Trends in pharmacological …, 2023 - cell.com
Diseases are manifestations of complex changes in protein–protein interaction (PPI)
networks whereby stressors, genetic, environmental, and combinations thereof, alter …

Navigating multi-scale cancer systems biology towards model-driven clinical oncology and its applications in personalized therapeutics

MN Gondal, SU Chaudhary - Frontiers in Oncology, 2021 - frontiersin.org
Rapid advancements in high-throughput omics technologies and experimental protocols
have led to the generation of vast amounts of scale-specific biomolecular data on cancer …

[HTML][HTML] Transcriptomics data mining to uncover signature genes in head and neck squamous cell carcinoma: a bioinformatics analysis and RNA-sequencing based …

W Yu, X He, C Zhang, H Huangfu - American Journal of Cancer …, 2023 - ncbi.nlm.nih.gov
Due to its heterogeneous nature, head and neck squamous cell carcinoma (HNSC) had the
worst prognosis. Hence, there is an urgent need to develop novel diagnostic and prognostic …

A Systems Biology and LASSO-Based Approach to Decipher the Transcriptome–Interactome Signature for Predicting Non-Small Cell Lung Cancer

F Ahmed, AA Khan, HR Ansari, A Haque - Biology, 2022 - mdpi.com
Simple Summary Non-small cell lung cancer (NSCLC) is a serious public health issue due
to its high mortality rate. To improve the survival rate of NSCLC with better treatment, it is …

Efficient bioinspired feature selection and machine learning based framework using omics data and biological knowledge data bases in cancer clinical endpoint …

I Zenbout, A Bouramoul, S Meshoul, M Amrane - IEEE Access, 2023 - ieeexplore.ieee.org
Cancer Research has advanced during the past few years. Using high throughput
technology and advances in artificial intelligence, it is now possible to improve cancer …

[HTML][HTML] PgxSAVy: A tool for comprehensive evaluation of variant peptide quality in proteogenomics–catching the (un) usual suspects

A Raj, S Aggarwal, P Singh, AK Yadav… - Computational and …, 2024 - Elsevier
Variant peptides resulting from single nucleotide polymorphisms (SNPs) can lead to
aberrant protein functions and have translational potential for disease diagnosis and …

Network-Based and Machine-Learning Approaches Identify Diagnostic and Prognostic Models for EMT-Type Gastric Tumors

M Sadeghi, MR Karimi, AH Karimi… - Genes, 2023 - mdpi.com
The microsatellite stable/epithelial-mesenchymal transition (MSS/EMT) subtype of gastric
cancer represents a highly aggressive class of tumors associated with low rates of survival …

Pan-Cancer, Genome-Scale Metabolic Network Analysis of over 10,000 Patients Elucidates Relationship between Metabolism and Survival

J Bucksot, K Ritchie, M Biancalana, JA Cole, D Cook - Cancers, 2024 - mdpi.com
Simple Summary This study describes a large-scale analysis of cancer metabolism across
The Cancer Genome Atlas and Multiple Myeloma Research Foundation MMRF …

Quality control of variant peptides identified through proteogenomics-catching the (un) usual suspects

A Raj, S Aggarwal, AK Yadav, D Dash - bioRxiv, 2023 - biorxiv.org
The importance of single nucleotide polymorphisms (SNPs) is well known in diseases but
which ones are translated to form single amino acid variant (SAV or variant) is not studied in …

Unleashing the Power of OpenAI in Shaping the Future of Cancer Research

RM Abdullah, HDI Masseh, A Salihi, BM Faraj - BioMed Target Journal, 2023 - qaaspa.com
Artificial intelligence (AI) is rapidly changing cancer research and treatment development.
OpenAI, a pioneer in AI research, is at the vanguard of this revolution. This review article …