Open Targets Platform: supporting systematic drug–target identification and prioritisation
Abstract The Open Targets Platform (https://www. targetvalidation. org/) provides users with
a queryable knowledgebase and user interface to aid systematic target identification and …
a queryable knowledgebase and user interface to aid systematic target identification and …
Prioritization of cancer therapeutic targets using CRISPR–Cas9 screens
Functional genomics approaches can overcome limitations—such as the lack of
identification of robust targets and poor clinical efficacy—that hamper cancer drug …
identification of robust targets and poor clinical efficacy—that hamper cancer drug …
Open Targets Platform: new developments and updates two years on
D Carvalho-Silva, A Pierleoni, M Pignatelli… - Nucleic acids …, 2019 - academic.oup.com
Abstract The Open Targets Platform integrates evidence from genetics, genomics,
transcriptomics, drugs, animal models and scientific literature to score and rank target …
transcriptomics, drugs, animal models and scientific literature to score and rank target …
Experimental challenges to modeling prostate cancer heterogeneity
T del NJ Flores-Téllez, E Baena - Cancer Letters, 2022 - Elsevier
Tumor heterogeneity plays a key role in prostate cancer prognosis, therapy selection,
relapse, and acquisition of treatment resistance. Prostate cancer presents a heterogeneous …
relapse, and acquisition of treatment resistance. Prostate cancer presents a heterogeneous …
The somatic molecular evolution of cancer: Mutation, selection, and epistasis
Cancer progression has been attributed to somatic changes in single-nucleotide variants,
copy-number aberrations, loss of heterozygosity, chromosomal instability, epistatic …
copy-number aberrations, loss of heterozygosity, chromosomal instability, epistatic …
Patient similarity network of newly diagnosed multiple myeloma identifies patient subgroups with distinct genetic features and clinical implications
The remarkable genetic heterogeneity of multiple myeloma poses a substantial challenge
for proper prognostication and clinical management of patients. Here, we introduce MM …
for proper prognostication and clinical management of patients. Here, we introduce MM …
Unraveling druggable cancer-driving proteins and targeted drugs using artificial intelligence and multi-omics analyses
A López-Cortés, A Cabrera-Andrade… - Scientific Reports, 2024 - nature.com
The druggable proteome refers to proteins that can bind to small molecules with appropriate
chemical affinity, inducing a favorable clinical response. Predicting druggable proteins …
chemical affinity, inducing a favorable clinical response. Predicting druggable proteins …
Comparative molecular life history of spontaneous canine and human gliomas
SB Amin, KJ Anderson, CE Boudreau… - Cancer cell, 2020 - cell.com
Sporadic gliomas in companion dogs provide a window on the interaction between
tumorigenic mechanisms and host environment. We compared the molecular profiles of …
tumorigenic mechanisms and host environment. We compared the molecular profiles of …
A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics
Advances in artificial intelligence have paved the way for leveraging hematoxylin and eosin-
stained tumor slides for precision oncology. We present ENLIGHT–DeepPT, an indirect two …
stained tumor slides for precision oncology. We present ENLIGHT–DeepPT, an indirect two …
An integrated genomic analysis of anaplastic meningioma identifies prognostic molecular signatures
G Collord, P Tarpey, N Kurbatova, I Martincorena… - Scientific reports, 2018 - nature.com
Anaplastic meningioma is a rare and aggressive brain tumor characterised by intractable
recurrences and dismal outcomes. Here, we present an integrated analysis of the whole …
recurrences and dismal outcomes. Here, we present an integrated analysis of the whole …