Enzymeflow: Generating reaction-specific enzyme catalytic pockets through flow matching and co-evolutionary dynamics
Enzyme design is a critical area in biotechnology, with applications ranging from drug
development to synthetic biology. Traditional methods for enzyme function prediction or …
development to synthetic biology. Traditional methods for enzyme function prediction or …
Descriptor: Benchmarking secure neural network evaluation methods for protein sequence classification (iDASH24)
To uniformly test and benchmark the secure evaluation of transformer-based models, we
designed the iDASH24 homomorphic encryption track dataset. The dataset comprises a …
designed the iDASH24 homomorphic encryption track dataset. The dataset comprises a …
MAIR: A Massive Benchmark for Evaluating Instructed Retrieval
Recent information retrieval (IR) models are pre-trained and instruction-tuned on massive
datasets and tasks, enabling them to perform well on a wide range of tasks and potentially …
datasets and tasks, enabling them to perform well on a wide range of tasks and potentially …
Reaction-conditioned De Novo Enzyme Design with GENzyme
The introduction of models like RFDiffusionAA, AlphaFold3, AlphaProteo, and Chai1 has
revolutionized protein structure modeling and interaction prediction, primarily from a binding …
revolutionized protein structure modeling and interaction prediction, primarily from a binding …
EnzymeCAGE: A Geometric Foundation Model for Enzyme Retrieval with Evolutionary Insights
Enzyme catalysis is fundamental to life, driving the chemical transformations that sustain
biological processes and support industrial applications. However, unraveling the …
biological processes and support industrial applications. However, unraveling the …