Protein 3d graph structure learning for robust structure-based protein property prediction
Protein structure-based property prediction has emerged as a promising approach for
various biological tasks, such as protein function prediction and sub-cellular location …
various biological tasks, such as protein function prediction and sub-cellular location …
Metaenzyme: Meta pan-enzyme learning for task-adaptive redesign
Enzyme design plays a crucial role in both industrial production and biology. However, this
field faces challenges due to the lack of comprehensive benchmarks and the complexity of …
field faces challenges due to the lack of comprehensive benchmarks and the complexity of …
Progressive multi-modality learning for inverse protein folding
While deep generative models show promise for learning inverse protein folding directly
from data, the lack of publicly available structure-sequence pairings limits their …
from data, the lack of publicly available structure-sequence pairings limits their …
Protein engineering in the deep learning era
Advances in deep learning have significantly aided protein engineering in addressing
challenges in industrial production, healthcare, and environmental sustainability. This …
challenges in industrial production, healthcare, and environmental sustainability. This …
Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design
J Zheng, G Wang, H Zhang, SZ Li - arxiv preprint arxiv:2411.17795, 2024 - arxiv.org
Computational protein design (CPD) offers transformative potential for bioengineering, but
current deep CPD models, focused on universal domains, struggle with function-specific …
current deep CPD models, focused on universal domains, struggle with function-specific …
Gentle-CLIP: Exploring Aligned Semantic In Low-Quality Multimodal Data With Soft Alignment
Multimodal fusion breaks through the barriers between diverse modalities and has already
yielded numerous impressive performances. However, in various specialized fields, it is …
yielded numerous impressive performances. However, in various specialized fields, it is …
Sable: Bridging the Gap in Protein Structure Understanding with an Empowering and Versatile Pre-training Paradigm
Protein pre-training has emerged as a transformative approach for solving diverse biological
tasks. While many contemporary methods focus on sequence-based language models …
tasks. While many contemporary methods focus on sequence-based language models …