23 citations · 53 across the 6 of their papers we have counts for
6 papers
Assay2Mol: large language model-based drug design using BioAssay context
Yifan Deng, Spencer S. Ericksen, Anthony Gitter
Scientific databases aggregate vast amounts of quantitative data alongside descriptive text. In biochemistry, molecule screening assays evaluate candidate molecules' functional res…
Exploring zero-shot structure-based protein fitness prediction
Arnav Sharma, Anthony Gitter
The ability to make zero-shot predictions about the fitness consequences of protein sequence changes with pre-trained machine learning models enables many practical applications. S…
Chemical Language Model Linker: blending text and molecules with modular adapters
Yifan Deng, Spencer S. Ericksen, Anthony Gitter
The development of large language models and multi-modal models has enabled the appealing idea of generating novel molecules from text descriptions. Generative modeling would shift…
The Coming of Age of Nucleic Acid Vaccines during COVID-19
Halie M. Rando, Ronan Lordan, Likhitha Kolla +8
In the 21st century, several emergent viruses have posed a global threat. Each pathogen has emphasized the value of rapid and scalable vaccine development programs. The ongoing SAR…
Application of Traditional Vaccine Development Strategies to SARS-CoV-2
Halie M. Rando, Ronan Lordan, Alexandra J. Lee +7
Over the past 150 years, vaccines have revolutionized the relationship between people and disease. During the COVID-19 pandemic, technologies such as mRNA vaccines have received at…
Molecular and Serologic Diagnostic Technologies for SARS-CoV-2
Halie M. Rando, Christian Brueffer, Ronan Lordan +10
The COVID-19 pandemic has presented many challenges that have spurred biotechnological research to address specific problems. Diagnostics is one area where biotechnology has been c…