Interpretable protein-DNA interactions captured by structure-sequence optimization
Sequence-specific DNA recognition underlies essential processes in gene regulation, yet methods for simultaneous predictions of genomic DNA recognition sites and their binding affinity remain lacking. Here, we present the Interpretable protein-DNA Energy Associative (IDEA) model, a residue-level, in...
Saved in:
| Main Authors: | Yafan Zhang, Irene Silvernail, Zhuyang Lin, Xingcheng Lin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
eLife Sciences Publications Ltd
2025-07-01
|
| Series: | eLife |
| Subjects: | |
| Online Access: | https://elifesciences.org/articles/105565 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Harnessing pre-trained models for accurate prediction of protein-ligand binding affinity
by: Jiashan Li, et al.
Published: (2025-02-01) -
GNNSeq: A Sequence-Based Graph Neural Network for Predicting Protein–Ligand Binding Affinity
by: Somanath Dandibhotla, et al.
Published: (2025-02-01) -
PPI-Graphomer: enhanced protein-protein affinity prediction using pretrained and graph transformer models
by: Jun Xie, et al.
Published: (2025-04-01) -
MethylSeqLogo: DNA methylation smart sequence logos
by: Fei-Man Hsu, et al.
Published: (2024-10-01) -
Into the Groove: A Multitechnique Insight into the DNA–Vemurafenib Interaction
by: Gabriele Cavalieri, et al.
Published: (2024-10-01)