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0
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RNAbpFlow: base pair-augmented SE(3) flow matching for conditional RNA 3D structure generation.
(nature.com)
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Tarafder S
…
Bhattacharya D
Nature Methods
2026-06-30
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#rna
#structure prediction
#deep learning
#generative modeling
#structural biology
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0
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BiMba: using Vision Mamba to predict protein sites that bind other proteins.
(academic.oup.com)
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Shirali A
…
Narasimhan G
Bioinformatics
2026-07-01
|
#protein-binding
#deep learning
#structural biology
#prediction
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0
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DiSPA: differential substructure-pathway attention for drug response prediction.
(academic.oup.com)
|
Han Y
…
Lim S
Bioinformatics
2026-07-01
|
#pharmacogenomics
#drug response
#deep learning
#transcriptomics
#pathways
|
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0
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ProMeta: a meta-learning framework for robust disease diagnosis and prediction from plasma proteomics.
(academic.oup.com)
|
Li H
…
Zhang S
Bioinformatics
2026-07-01
|
#proteomics
#meta-learning
#diagnosis
#deep learning
#biomarker
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0
|
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Optimizing protein tokenization: reduced amino acid alphabets for efficient and accurate protein language models.
(academic.oup.com)
|
Rannon E
…
Burstein D
Bioinformatics
2026-07-01
|
#protein
#language model
#tokenization
#deep learning
#bioinformatics
|
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0
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USP-ddG: a unified structural paradigm with data efficacy and mixture-of-experts for predicting mutational effects on protein-protein interactions.
(academic.oup.com)
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Yu G
…
Wang J
Bioinformatics
2026-07-01
|
#protein-protein interaction
#protein design
#deep learning
#structural prediction
#binding-energy
|
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0
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|
Advancing proteomic discovery through optimized multi-stage scoring and deep learning-enhanced open search.
(academic.oup.com)
|
Qian C
…
Chi H
Bioinformatics
2026-07-01
|
#proteomics
#mass spectrometry
#deep learning
#ptm
#peptide-identification
|
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0
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MiRformer: a dual-transformer-encoder framework for predicting microRNA-mRNA interactions from paired sequences.
(academic.oup.com)
|
Gu J
…
Li Y
Bioinformatics
2026-07-01
|
#microrna
#deep learning
#prediction
#post-transcriptional
#gene regulation
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0
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A novel transformer model of protein domains for viral taxonomy classification.
(academic.oup.com)
|
Shin J
…
Ye Y
Bioinformatics
2026-07-01
|
#taxonomy
#virome
#deep learning
#proteomics
#classification
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0
|
|
OrgNet+: towards robust protein stability prediction with convolutional neural networks.
(academic.oup.com)
|
Sarycheva A
…
Popov P
Bioinformatics
2026-07-01
|
#protein stability
#deep learning
#mutation_prediction
#simulation
#structure prediction
|
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0
|
|
BulkFormer: A large-scale foundation model for bulk transcriptomes.
(linkinghub.elsevier.com)
|
Kang B
…
Cui Q
Cell Systems
2026-07-01
|
#transcriptomics
#language model
#rna-seq
#deep learning
|
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0
|
|
ClairS: a deep-learning method for long-read tumor-normal pair somatic small variant calling.
(nature.com)
|
Zheng Z
…
Luo R
Nature Methods
2026-07-01
|
#sequencing
#somatic
#variants
#cancer
#deep learning
|
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0
|
|
SpaBiT: Enhancing Spatial Transcriptomics Resolution via Bidirectional Attention Transformers.
(academic.oup.com)
|
Liu X
…
Min W
Bioinformatics
2026-07-02
|
#transcriptomics
#deep learning
#gene expression
#histology
|
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0
|
|
An interpretable deep learning framework uncovers features governing CRISPR-Cas9 genome-editing efficiency.
(academic.oup.com)
|
Bakhtiyari N
…
Kumar S
Bioinformatics
2026-07-02
|
#crispr
#deep learning
#genome editing
#interpretability
#sequence analysis
|
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0
|
|
3DICE: Interpretable 3D Cross-Modal Learning for Drug-Target Interaction Prediction and Large-Scale Drug Discovery.
(academic.oup.com)
|
Liu AZR
…
Chua MCH
Bioinformatics
2026-07-02
|
#drug discovery
#deep learning
#protein structure
#binding prediction
|
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0
|
|
Eras of bioinformatics technologies from command-line interfaces to artificial intelligence (AI) chatbots.
(academic.oup.com)
|
Truong VQ
…
Ritchie MD
Briefings in Bioinformatics
2026-07-03
|
#bioinformatics
#ai
#sequencing
#deep learning
#structural biology
|
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0
|
|
Bridging local-global transmembrane protein contexts with contrastive pretraining for alignment-free pathogenicity prediction.
(academic.oup.com)
|
Bao Y
…
Lin GN
Briefings in Bioinformatics
2026-07-03
|
#pathogenicity
#transmembrane
#deep learning
#variant prediction
#protein structure
|
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0
|
|
K-attention: a biologically informed attention operator for data-efficient sequence-based omics modeling.
(academic.oup.com)
|
Liu T
…
Gao G
Briefings in Bioinformatics
2026-07-03
|
#deep learning
#omics
#sequence modeling
#attention-mechanisms
#machine learning
|
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0
|
|
Investigating the anticancer activity of eravacycline in pancreatic cancer via target-based deep learning and experimental validation.
(academic.oup.com)
|
Jabarin A
…
Ben-Shabat S
Briefings in Bioinformatics
2026-07-03
|
#pancreatic cancer
#drug discovery
#deep learning
#computational-screening
#p53
|
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0
|
|
SqueakPose Studio, an end-to-end platform for pose estimation and real-time edge-AI deployment.
(elifesciences.org)
|
Haggerty DL
…
Lovinger D
eLife
2026-07-06
|
#pose-estimation
#deep learning
#behavioral-tracking
#edge computing
#computer vision
|