Biomedical big data technologies, applications, and challenges for precision medicine: a review

X Yang, K Huang, D Yang, W Zhao… - Global Challenges, 2024 - Wiley Online Library
The explosive growth of biomedical Big Data presents both significant opportunities and
challenges in the realm of knowledge discovery and translational applications within …

Machine learning methods, databases and tools for drug combination prediction

L Wu, Y Wen, D Leng, Q Zhang, C Dai… - Briefings in …, 2022 - academic.oup.com
Combination therapy has shown an obvious efficacy on complex diseases and can greatly
reduce the development of drug resistance. However, even with high-throughput screens …

[HTML][HTML] A disease-associated gene desert directs macrophage inflammation through ETS2

CT Stankey, C Bourges, LM Haag, T Turner-Stokes… - Nature, 2024 - nature.com
Increasing rates of autoimmune and inflammatory disease present a burgeoning threat to
human health. This is compounded by the limited efficacy of available treatments and high …

De novo generation of multi-target compounds using deep generative chemistry

BP Munson, M Chen, A Bogosian, JF Kreisberg… - Nature …, 2024 - nature.com
Polypharmacology drugs—compounds that inhibit multiple proteins—have many
applications but are difficult to design. To address this challenge we have developed …

[HTML][HTML] Integrated proteogenomic characterization across major histological types of pediatric brain cancer

F Petralia, N Tignor, B Reva, M Koptyra, S Chowdhury… - Cell, 2020 - cell.com
We report a comprehensive proteogenomics analysis, including whole-genome sequencing,
RNA sequencing, and proteomics and phosphoproteomics profiling, of 218 tumors across 7 …

Three-dimensional bioprinted glioblastoma microenvironments model cellular dependencies and immune interactions

M Tang, Q **e, RC Gimple, Z Zhong, T Tam, J Tian… - Cell research, 2020 - nature.com
Brain tumors are dynamic complex ecosystems with multiple cell types. To model the brain
tumor microenvironment in a reproducible and scalable system, we developed a rapid three …

scPerturb: harmonized single-cell perturbation data

S Peidli, TD Green, C Shen, T Gross, J Min, S Garda… - Nature …, 2024 - nature.com
Abstract Analysis across a growing number of single-cell perturbation datasets is hampered
by poor data interoperability. To facilitate development and benchmarking of computational …

PubChem 2023 update

S Kim, J Chen, T Cheng, A Gindulyte, J He… - Nucleic acids …, 2023 - academic.oup.com
Abstract PubChem (https://pubchem. ncbi. nlm. nih. gov) is a popular chemical information
resource that serves a wide range of use cases. In the past two years, a number of changes …

Connecting omics signatures and revealing biological mechanisms with iLINCS

M Pilarczyk, M Fazel-Najafabadi, M Kouril… - Nature …, 2022 - nature.com
There are only a few platforms that integrate multiple omics data types, bioinformatics tools,
and interfaces for integrative analyses and visualization that do not require programming …

Functional enrichment analysis of regulatory elements

A Garcia-Moreno, R López-Domínguez… - Biomedicines, 2022 - mdpi.com
Statistical methods for enrichment analysis are important tools to extract biological
information from omics experiments. Although these methods have been widely used for the …