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13
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Limits of deep-learning-based RNA prediction methods.
(academic.oup.com)
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Ludaic M
…
Elofsson A
Nucleic Acids Research
2026-08-24
|
#rna
#deep learning
#structure prediction
#benchmark
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3
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GRASSP: RNA Language Model-Enhanced Graph Attention with Adaptive Gating for RNA-Small Molecule Binding Site Prediction.
(academic.oup.com)
|
Nguyen TL
…
Quoc Khanh Le N
Bioinformatics
2026-08-22
|
#rna
#binding
#machine learning
#drug discovery
#structure prediction
|
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0
|
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M2-PRNet: Multi-Scale and Multi-Modal Learning for Protein-RNA Binding Affinity Prediction.
(academic.oup.com)
|
Wang J
…
Li M
Bioinformatics
2026-08-14
|
#protein-rna
#binding
#machine learning
#structure prediction
#drug discovery
|
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0
|
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DeepPNI: a language- and graph-based model for mutation-driven protein-nucleic acid binding energetics.
(academic.oup.com)
|
Mondal S
…
Mehra R
Nucleic Acids Research
2026-08-10
|
#mutation
#binding
#deeplearning
#protein-nucleic-acid-interactions
#structure prediction
|
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0
|
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Synthetic sequence alignments as programmable probes of learned conformational landscapes in deep learning protein structure predictors.
(academic.oup.com)
|
Gut JA
…
Lemmin T
Bioinformatics
2026-08-11
|
#deep learning
#folding
#structure prediction
#conformational dynamics
#inverse folding
|
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0
|
|
Pocket-PROTACs: an interpretable pocket-aware deep learning framework for predicting PROTAC-induced protein degradation.
(academic.oup.com)
|
Chen K
…
Deng L
Bioinformatics
2026-08-01
|
#deep learning
#protein degradation
#drug design
#structure prediction
|
|
0
|
|
Structure-conditioned self-supervised learning of residue interaction constraints in protein kinases for variant interpretation.
(academic.oup.com)
|
Fadaei S
…
Zoete V
Bioinformatics
2026-08-01
|
#variant interpretation
#kinase
#folding
#self-supervised learning
#structure prediction
|
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0
|
|
Stoic: fast and accurate protein stoichiometry prediction.
(academic.oup.com)
|
Litvinov D
…
Durairaj J
Bioinformatics
2026-08-01
|
#protein-protein interaction
#structure prediction
#machine learning
|
|
0
|
|
PI-Mamba: linear-time protein backbone generation via spectrally initialized flow matching.
(academic.oup.com)
|
Wu T
…
Zhu L
Bioinformatics
2026-08-01
|
#protein design
#generative_models
#structure prediction
#computational methods
|
|
0
|
|
PreFold-dG: estimating binding affinity of protein-protein interaction from intermediate representations of protein folding model.
(academic.oup.com)
|
Park S
…
Kim K
Bioinformatics
2026-08-01
|
#folding
#affinity
#structure prediction
#protein-interactions
#machine learning
|