The STRING database in 2023: protein–protein association networks and functional enrichment analyses for any sequenced genome of interest

D Szklarczyk, R Kirsch, M Koutrouli… - Nucleic acids …, 2023 - academic.oup.com
Much of the complexity within cells arises from functional and regulatory interactions among
proteins. The core of these interactions is increasingly known, but novel interactions …

Enrichr-KG: bridging enrichment analysis across multiple libraries

JE Evangelista, Z Xie, GB Marino… - Nucleic acids …, 2023 - academic.oup.com
Gene and protein set enrichment analysis is a critical step in the analysis of data collected
from omics experiments. Enrichr is a popular gene set enrichment analysis web-server …

Complex analysis of single-cell RNA sequencing data

AA Khozyainova, AA Valyaeva, MS Arbatsky… - Biochemistry …, 2023 - Springer
Single-cell RNA sequencing (scRNA-seq) is a revolutionary tool for studying the physiology
of normal and pathologically altered tissues. This approach provides information about …

Decoding the molecular interplay in the central dogma: An overview of mass spectrometry‐based methods to investigate protein‐metabolite interactions

P Stincone, A Naimi, AJ Saviola, R Reher… - …, 2024 - Wiley Online Library
With the emergence of next‐generation nucleotide sequencing and mass spectrometry‐
based proteomics and metabolomics tools, we have comprehensive and scalable methods …

State of the Interactomes: an evaluation of molecular networks for generating biological insights

SN Wright, S Colton, LV Schaffer, RT Pillich… - Molecular Systems …, 2024 - embopress.org
Advancements in genomic and proteomic technologies have powered the creation of large
gene and protein networks (“interactomes”) for understanding biological systems. However …

The STRING database in 2025: protein networks with directionality of regulation

D Szklarczyk, K Nastou, M Koutrouli… - Nucleic Acids …, 2024 - academic.oup.com
Proteins cooperate, regulate and bind each other to achieve their functions. Understanding
the complex network of their interactions is essential for a systems-level description of …

STRING-ing together protein complexes: corpus and methods for extracting physical protein interactions from the biomedical literature

F Mehryary, K Nastou, T Ohta, LJ Jensen… - …, 2024 - academic.oup.com
Motivation Understanding biological processes relies heavily on curated knowledge of
physical interactions between proteins. Yet, a notable gap remains between the information …

FunCoup 6: advancing functional association networks across species with directed links and improved user experience

D Buzzao, E Persson, D Guala… - Nucleic Acids …, 2024 - academic.oup.com
Abstract FunCoup 6 (https://funcoup. org) represents a significant advancement in global
functional association networks, aiming to provide researchers with a comprehensive view …

HOPEXGB: a consensual model for predicting miRNA/lncRNA-disease associations using a heterogeneous disease-miRNA-lncRNA information network

J He, M Li, J Qiu, X Pu, Y Guo - Journal of Chemical Information …, 2023 - ACS Publications
Predicting disease-related microRNAs (miRNAs) and long noncoding RNAs (lncRNAs) is
crucial to find new biomarkers for the prevention, diagnosis, and treatment of complex …

Gp-gpt: Large language model for gene-phenotype mapping

Y Lyu, Z Wu, L Zhang, J Zhang, Y Li, W Ruan… - arXiv preprint arXiv …, 2024 - arxiv.org
Pre-trained large language models (LLMs) have attracted increasing attention in biomedical
domains due to their success in natural language processing. However, the complex traits …