Genetics

Novel therapeutic strategies for metastatic castration‑resistant prostate cancer: Beyond androgen receptor pathway inhibition (Review).

Metastatic castration‑resistant prostate cancer (mCRPC) remains a lethal disease due to universal re...

A network-based deep learning model integrating subclonal architecture for therapy response prediction in cancer.

Predicting treatment response remains challenging in oncology, particularly given the growing divers...

Unlocking non-model organisms with CRISPR-Cas: A roadmap for sustainable biotechnology.

The reliance on model organisms in biotechnology has advanced our understanding of fundamental biolo...

Examining Genetic Variants Associated with FOXP1 Syndrome through Molecular Dynamics of Its DNA-Binding Domain and Self-Organizing Maps.

Genetic mutations in the transcription factor FOXP1 (forkhead box protein P1) cause an autosomal dom...

Advances in HLA and Non-HLA Immune Profiling: Integrating Next-Generation Sequencing and Artificial Intelligence in Transplantation.

Understanding transplantation outcomes requires an integrated view of immunological, genetic, and cl...

Leveraging long-read assemblies and machine learning to enhance short-read transposable element detection and genotyping.

Transposable elements (TEs) are parasitic genomic elements that are ubiquitous across the tree of li...

Integrating Sperm Microscopy, Environmental Exposures, and Lifestyle Factors for Male Fertility Analysis: Protocol for the Nippon Semen and Environmental Exposure Database (N-SEED) Cross-Sectional Study.

BACKGROUND: Conventional semen analysis does not fully capture male reproductive potential. The sper...

Tools and tactics for studying alternative splicing.

Alternative splicing generates transcriptomic diversity essential for cellular homeostasis, and its ...

Novel biomarkers and multi-omics approaches for diagnosis and management of ulcerative colitis.

BACKGROUND: Ulcerative colitis (UC) remains challenging to diagnose, monitor, and treat due to heter...

CEP-IP: An explainable framework for cell subpopulation identification in single-cell transcriptomics.

BACKGROUND AND OBJECTIVE: Single-cell RNA sequencing (scRNA-seq) frameworks lack explainable approac...

Small RNAs as systemic signals in plant defense: mechanisms, challenges, and future directions.

Small RNAs (sRNAs) have emerged as central regulators of gene expression, coordinating development, ...

Bridging In Silico Design and Experimental Validation: Virtual Screening and In Vitro Assessment of Biomimetic Anticancer Peptides Inspired by Horseshoe Crab Hemolymph Proteins.

BACKGROUND: Colorectal cancer (CRC) remains a leading cause of cancer-related mortality, necessitati...

SaintGSE: Transformer-based efficient and explainable gene set enrichment analysis.

OBJECTIVE: Gene set enrichment analysis (GSEA) is widely used to interpret genome-wide expression da...

In silico virtual knockout identifies PXDNL as a fibroblast-specific driver of sarcopenia and GABA as a potential modulator.

Sarcopenia lacks causal mechanisms and translatable targets. We integrated virtual gene knockout wit...

Deep learning and cryogenic electron microscopy modeling for gene editing dynamics.

Advances in cryogenic electron microscopy (cryo-EM) data modeling and deep learning are reshaping ou...

Rapid customization of base editors via machine learning-powered combinatorial mutagenesis.

Being able to control the complementarity and hindrance between target DNA and base editor proteins ...

Noninvasive Prediction of Bone Metastasis-Free Survival in Lung Adenocarcinoma Using Interpretable CT-based Deep Learning Model.

RATIONALE AND OBJECTIVES: Preoperatively identifying patients at high risk of bone metastasis (BM) r...

MiSiPi.Rna: an integrated tool for characterizing small regulatory RNA processing.

Argonaute proteins mediate gene silencing via small regulatory RNAs that are generated by distinctiv...

Integrating epigenetic and immune biomarkers to enable dynamic precision therapy in triple-negative breast cancer.

Mamba-ACP: a Hybrid State-Space and Transformer Framework for Interpretable Anticancer Peptide Prediction.

Anticancer peptides (ACPs) represent a promising class of therapeutic agents that selectively destro...

Artificial Intelligence Design for Race-Based Prostate Cancer Stage Classification With Multilayer Perceptron: Feature Selection Optimization Approach.

BACKGROUND: Prostate cancer progression exhibits significant variability influenced by biological an...