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0
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Void-X: A generative void-filling model for predicting atomic packing in proteins.
(pnas.org)
|
Yang J
…
Chou JJ
PNAS
2026-06-16
|
#protein design
#diffusion models
#structure prediction
#deep learning
#protein-protein interaction
|
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0
|
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Zero-shot design of drug-binding proteins via neural iterative selection-expansion.
(nature.com)
|
Fry B
…
Polizzi NF
Nature
2026-06-24
|
#protein design
#deep learning
#drug binding
#neural network
#structure prediction
|
|
0
|
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Inferring Dynamic Information from Protein Structures by Gaussian Integrals and Deep Learning.
(academic.oup.com)
|
Vilicich F
…
Wu Y
Bioinformatics
2026-06-24
|
#dynamics
#deep learning
#proteomics
#structure prediction
|
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0
|
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The emergence of novel versus known three-dimensional structures from random sequences.
(pnas.org)
|
Yang R
…
DeGrado WF
PNAS
2026-06-29
|
#folding
#structure prediction
#computational biology
#evolution
#crystallography
|
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0
|
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Experiment-guided AlphaFold3 resolves measurement-consistent protein ensembles.
(nature.com)
|
Maddipatla A
…
Bronstein AM
Nature Biotechnology
2026-06-29
|
#structure prediction
#nmr
#cryo-em
#protein dynamics
#ensemble-methods
|
|
0
|
|
RNAbpFlow: base pair-augmented SE(3) flow matching for conditional RNA 3D structure generation.
(nature.com)
|
Tarafder S
…
Bhattacharya D
Nature Methods
2026-06-30
|
#rna
#structure prediction
#deep learning
#generative modeling
#structural biology
|
|
0
|
|
Probabilistic RNA designability via interpretable ensemble approximation and dynamic decomposition.
(academic.oup.com)
|
Zhou T
…
Huang L
Bioinformatics
2026-07-01
|
#rna
#structure prediction
#computational biology
#dynamic-programming
#inverse folding
|
|
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
|
|
0
|
|
KASSPer: Kinase Active Site Structure Prediction using Protein and Ligand Language Models and Its Application to Virtual Screening.
(academic.oup.com)
|
Jang W
…
Shin WH
Bioinformatics
2026-07-01
|
#virtual screening
#kinase
#structure prediction
#drug discovery
#machine learning
|
|
0
|
|
Beyond native sequence recovery: Improved modeling of the sequence-energy landscape of protein structures.
(pnas.org)
|
Birnbaum F
…
Keating AE
PNAS
2026-07-02
|
#protein design
#sequence modeling
#machine learning
#structure prediction
#computational biology
|