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0
|
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Accessibility in proteins and RNAs interactions prediction with machine learning: are we overlooking non-experts?
(academic.oup.com)
|
Florentino BR
…
F de Carvalho ACPL
Briefings in Bioinformatics
2026-05-04
|
#prediction
#protein-rna
#machine learning
#computational tools
|
|
0
|
|
Proximal regularization of deep residual neural networks applied to high-dimensional genomic data.
(academic.oup.com)
|
Fan Y
…
Waldmann P
Briefings in Bioinformatics
2026-05-04
|
#genomics
#modeling
#prediction
#regularization
|
|
0
|
|
ac4C modification sites prediction in human mRNA: a complete review.
(academic.oup.com)
|
Zulfiqar H
…
Yu XL
Briefings in Bioinformatics
2026-05-04
|
#prediction
#epigenomics
#machine learning
#rna modification
|
|
0
|
|
MuFGPS: enhancing liquid-liquid phase separation protein prediction through multi-level features and ensemble learning.
(academic.oup.com)
|
Xian L
…
Wang Y
Briefings in Bioinformatics
2026-05-04
|
#prediction
#machine learning
#phase separation
#protein structure
#ensemble
|
|
0
|
|
MIFNDRA: an innovative knowledge-enhanced multimodal fusion and graph learning framework for predicting drug resistance-related ncRNAs.
(academic.oup.com)
|
Sui J
…
Guo J
Briefings in Bioinformatics
2026-05-04
|
#amr
#cancer
#prediction
#machine learning
#ncrna
|
|
0
|
|
CONTRA-IL6: an interpretable hybrid convolutional neural network and Transformer framework for accurate prediction of interleukin-6-inducing peptides using protein language models.
(academic.oup.com)
|
Tran DT
…
Manavalan B
Briefings in Bioinformatics
2026-05-04
|
#prediction
#deep learning
#immunogenicity
#cytokine
#peptide
|
|
0
|
|
Carcinogenicity prediction via multi-task learning of cross-organ representations with attention mechanisms.
(academic.oup.com)
|
Song Y
…
Yoo S
Briefings in Bioinformatics
2026-05-04
|
#modeling
#cancer
#prediction
#carcinogenicity
|
|
0
|
|
Graph-based RNA structural representation reveals determinants of subcellular localization.
(academic.oup.com)
|
Hao Y
…
Li F
Briefings in Bioinformatics
2026-05-04
|
#modeling
#prediction
#rna
#localization
|
|
0
|
|
Computational paradigms for antimicrobial resistance prediction: integrating multi-omics, structural modeling, and foundation artificial intelligence systems.
(academic.oup.com)
|
Hossain E
…
Yousefi N
Briefings in Bioinformatics
2026-05-04
|
#genomics
#modeling
#amr
#prediction
#machine learning
|
|
0
|
|
MAPLE: interpretable deep learning identifies selective antimicrobial peptides using joint evolutionary-physicochemical analysis.
(academic.oup.com)
|
Liu H
…
Yu G
Briefings in Bioinformatics
2026-05-04
|
#prediction
#machine learning
#toxicity
#antimicrobial peptides
#selectivity
|
|
0
|
|
Rethinking bioinformatics in liquid-liquid phase separation: data resources, predictive models, and an event-centric perspective.
(academic.oup.com)
|
Yuan ZL
…
Ning L
Briefings in Bioinformatics
2026-05-04
|
#bioinformatics
#modeling
#prediction
#machine learning
|
|
0
|
|
Shoebill: an interpretable AlphaFold2-informed predictor of protein crystallization propensity using XGBoost.
(academic.oup.com)
|
Liao KJ
…
Sun YJ
Briefings in Bioinformatics
2026-05-04
|
#modeling
#prediction
#protein structure
#crystallography
|
|
0
|
|
CRISPR-MBTF: a multi-branch transformer fusion framework for CRISPR-Cas9 off-target prediction.
(academic.oup.com)
|
Jahangiri-Sisakht A
…
Alipanahi R
Briefings in Bioinformatics
2026-05-04
|
#prediction
#crispr
#machine learning
#genome editing
#off-target
|
|
0
|
|
DeepPTMPred: a multi-modal deep learning framework for accurate prediction of protein post-translational modification sites.
(academic.oup.com)
|
Wang C
…
Wang J
Briefings in Bioinformatics
2026-05-04
|
#modeling
#proteomics
#prediction
#phosphorylation
|
|
0
|
|
Computational prediction of replication origins: a comparative review of methods, benchmarks, and trends from heuristics to deep learning.
(academic.oup.com)
|
Jomaa H
…
Assaf R
Briefings in Bioinformatics
2026-05-04
|
#genomics
#prediction
#machine learning
#replication
#benchmarking
|
|
0
|
|
Artificial intelligence in drug research and development: a review of methods and applications in drug repurposing.
(academic.oup.com)
|
Zielinska A
…
Souto EB
Briefings in Bioinformatics
2026-05-04
|
#prediction
#networks
#machine learning
#drug discovery
#repurposing
|
|
0
|
|
SSAS-GO: structure-sequence adaptive synergy network for protein function prediction.
(academic.oup.com)
|
Wang D
…
Wang Q
Briefings in Bioinformatics
2026-05-04
|
#protein
#deeplearning
#prediction
|