Latest Research in Protein Sequence Codesign

Top Research Topics in Protein Sequence Codesign

• Machine Learning — 5 papers
• Machine Learning in Materials Science — 2 papers
• Microbial Natural Products and Biosynthesis — 1 papers
• Computational Drug Discovery Methods — 1 papers
• Chemical Physics — 1 papers
• Protein Structure and Dynamics — 1 papers
• Genomics and Phylogenetic Studies — 1 papers
• Genomics and Rare Diseases — 1 papers
• Vector-borne infectious diseases — 1 papers

Highest-Cited Papers

1. CatRange enables robust prediction of enzyme variant kinetic regimes
2. KRstereo: Predicting β-Hydroxy Stereochemistry in Polyketides Using Protein Language Models
3. Chamaileon: Cross-Context Binder Design with Contextualized Modeling and Mixed Sampling
4. Torsionator: Dihedral Parameterization and Conformer Search Made Easy
5. Multi-source language models fused with a dynamic routing capsule network for antimicrobial compound identification
6. Unsupervised Thermodynamics of Molecular Diffusion Models: Action-Operator Semantics and Auditable Free-Energy Readout
7. SimpleDesign: A Joint Model for Protein Sequence and Structure Codesign
8. Following the Complete Thermal Landscape of a Protein by Neutron Scattering
9. Freeze, Diffuse, Decode: Task-Aware Adaptation of Transformer Embeddings for Antimicrobial Peptide Design
10. Leveraging latent space models for enzyme discovery and sampling
11. CrystalGRPO: Target-Aligned and Coverage-Preserving Reinforcement Learning for Flow-Based Crystal Structure Prediction
12. The Benchmark Number Is Not the Deployment Number: Rank Collapse and Base-Rate Collapse, Measured Across Four Domains
13. Emyx: Fast and efficient all-atom protein generation
14. 1H, 15N and 13C backbone and side-chain resonance assignments of Amblyomin-X Kunitz domain