Pop
Sci
4UPop
4USci
Unlock
Jul 13, 2026 02:44
Jump to…
Collapse all
Expand all
Editor And Guide Design
✕
CrisprFusion: A feature fusion model with multi-type input features for sgRNA activity prediction.
★10 · Computational biology and chemistry
An interpretable deep learning framework uncovers features governing CRISPR-Cas9 genome-editing efficiency.
★10 · Bioinformatics (Oxford, England)
Deep learning-guided engineering of SpuFz1 and rational miniaturization of ωRNA enables efficient genome editing.
★10 · Nature communications
Epigenetic editing approaches maturity: AI-driven precision design, delivery innovation, and the road to clinical translation.
★9 · Clinical epigenetics
Minimizing Off-Target Effects of CRISPR-Cas9 With Optimized sgRNA: Evaluation of Efficiency and Specificity in the Tumor Protein 53 (TP53) Region.
★8 · Biotechnology and bioengineering
Discovery and Engineering of a Rat Endogenous Retrovirus Reverse Transcriptase for Efficient Prime Editing.
★8 · Advanced science (Weinheim, Baden-Wurttemberg, Germany)
A cross-strain CRISPRi sgRNA library for Streptococcus agalactiae.
★7 · Microbiology resource announcements
Regulatory And Expression Design
✕
Unconditional de novo generation and functional validation of synthetic promoters with a diffusion model.
★9 · Synthetic and systems biotechnology
Deep learning unlocks sequence-divergent synthetic promoters to empower Streptomyces natural product engineering.
★8 · Metabolic engineering
The Encyclopedia of DNA Elements
★8
M6AFormer Prioritizes Unannotated Functional m6A Candidate Sites in the Human m6A Epitranscriptome
★8
A deep learning model captures position-specific preferences of plant regulatory sequences and suggests genes under complex regulation.
★7 · Plant physiology
Deep learning uncovers conserved regulatory logic and element dosage underlying stable gene expression in grasses.
★7 · Molecular plant
GAMETE maps the genetic architecture of chromatin accessibility in rice pollen at single-nucleus resolution
★7
Interactome Specialization Predicts Genome-Wide Binding-Site Degeneracy in Drosophila melanogaster Transcription Factors
★7
Capturing the dynamics of STAT6 macrophage polarization using bioluminescence temporal signatures
★6
MKMC enables reference-free transcriptomic analysis using k-mer representations
★6
Deep learning of functional perturbations from condensate morphology
★6
Protein And Sequence Models
✕
Interpreting embeddings from genome and protein language models.
★9 · Biotechnology advances
Safeguarding open-weight genomic foundation models through weight locking
★9
PKProbDesign: RNA inverse folding including pseudoknots by optimizing thermodynamic folding probability
★9
ProtAug: An Empirical Investigation of pLM-Guided Data Augmentation for Protein Sequence Prediction Tasks
★9
High-throughput machine learning-aided antibody discovery for cell surface antigens
★9
Structure-guided computational design and mechanistic understanding of the p95HER2-targeting NAZ-mAb antibody and its variants
★9
Evaluating the cross-species transferability and scaling of sequence-to-function predictions in AlphaGenome
★9
Benchmarking AI-Driven PTIm-mAb Across Eleven FDA-Approved Bispecific Antibodies: A Cross-Tool Validation Study
★9
Causal intervention validation of gene regulatory signals in scGPT.
★8 · Journal of biomedical informatics
Causal circuit tracing reveals distinct computational architectures in single-cell foundation models: inhibitory dominance, biological coherence, and cross-model convergence.
★8 · Bioinformatics (Oxford, England)
MAERM: Predicting Enzyme-Reaction Matching Relationships with a Mixed-Attention Model
★8
ProtPen combines sequence- and structure-based approaches to facilitate protein function predictions on a proteome-wide scale
★8
Semantic fragment representations for coordinate-free analysis of genomics data
★7
Target And Variant Discovery
✕
BulkFormer: A large-scale foundation model for bulk transcriptomes
★9
Kernelized approach enables explainable gene prioritizations for complex traits
★9
Transformer models of mutation risk at base-pair resolution identify non-coding hotspot cancer driver mutations
★9
Deciphering protein mutation-phenotype linkages from CRISPR-based tiling mutagenesis screens
★9
AI-guided CRISPR screening reveals therapeutic targets in psoriasis.
★8 · Nature communications
Integrative transcriptomic and CRISPR dependency analysis identifies hepatoblastoma-specific essential genes and actionable vulnerabilities.
★8 · Cancer genetics
Agentic Artificial Intelligence-Driven Explainable Deep Learning for Deciphering Noncoding Pathogenic Mechanisms of Delirium Through Genomic Big Data Integration.
★8 · Big data
Current challenges in GWAS integration and fine-mapping for variant interpretation
★8
Pangenome-based human genome analysis improves trait association and genomic prediction
★8
MARiO: predicting cancer variant pathogenicity by integrating in silico evaluation and patient-level mutational contexts
★8
Integrative machine learning and CRISPR/Cas9 analysis reveals the role of APOE in lipid metabolism-associated kidney fibrosis.
★7 · Molecular medicine (Cambridge, Mass.)
Hybrid Computational Modeling with Multi-Level Validation Identifies TK1-VIM as a Robust Therapeutic Pair in Triple-Negative Breast Cancer.
★7 · International journal of molecular sciences
Digital decoding tissue microenvironment heterogeneity from spatial proteomics through graph-enhanced transfer learning
★7
Missense mutations in MKRN3 and central precocious puberty: a mutational approach to understanding protein function.
★6 · Current opinion in pediatrics
AGPI: An AI-Powered Genomic Pathogen Intelligence Platform for Integrated Classification, Visualization, and Therapeutic Targeting
★6
Vector And Capsid Design
✕
Machine-guided design for bioengineering gene therapy vectors: Where are we and what lies ahead?
★8 · Biotechnology advances
Real-time holographic monitoring of insect cell morphology during baculovirus coinfection for adeno-associated virus vector production using machine learning-based classification models.
★8 · New biotechnology
Delivery And Formulation
✕
New approach methodologies (NAMs) for preclinical and translational evaluation of mRNA-lipid nanoparticle (LNP) therapeutics.
★7 · Journal of controlled release : official journal of the Controlled Release Society