Scientific Foundation
Our platform is built on peer-reviewed research in mRNA foundation models, drug-target interaction, and molecular design.
Core Focus Areas
mRNA Foundation Models
Equivariant language models for mRNA sequence design. SO(2) codon symmetry encoding for expression prediction, stability optimization, and sequence generation.
Drug-Target Interaction
Interpretable AI models for drug discovery, including attention-based DTI prediction, binding site analysis, and molecular generation.
Foundation Model Architecture
Transformer innovations, parameter-efficient fine-tuning, and generative approaches powering our biological language models.
Recent Publications
Equi-mRNA: Protein Translation Equivariant Encoding for mRNA Language Models
Yazdani-Jahromi M., Khodabandeh Yalabadi A., Garibay O.O.
BoKDiff: Best-of-K Diffusion Alignment for Target-Specific 3D Molecule Generation
Khodabandeh Yalabadi A., Yazdani-Jahromi M., Garibay O.O.
Predicting Through Generation: Why Generation is Better for Prediction
Kowsher M., Prottasha N.J., Bhat P., Yu C.N., Soltanalian M., Garibay I., Garibay O.
LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting
Kowsher M., Sobuj M.S.I., Prottasha N.J., Alanis E.A., Garibay O., Yousefi N.
Evaluating Fairness and Bias in Large Language Models for Tabular Data
Tayebi A., Garibay O.O.
FairContrast: Enhancing Fairness through Contrastive Learning and Customized Augmenting Methods on Tabular Data
Tayebi A., Khodabandeh Yalabadi A., Yazdani-Jahromi M., Garibay O.O.
Showing 6 of 23 publications
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We partner with academic institutions and industry leaders to advance therapeutic discovery.
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