159 citations · 267 across the 14 of their papers we have counts for
3 papers · 1 filter
GPCR-BERT: Interpreting Sequential Design of G Protein Coupled Receptors Using Protein Language Models
Seongwon Kim, Parisa Mollaei, Akshay Antony +2
With the rise of Transformers and Large Language Models (LLMs) in Chemistry and Biology, new avenues for the design and understanding of therapeutics have opened up to the scientif…
GPT-MolBERTa: GPT Molecular Features Language Model for molecular property prediction
Suryanarayanan Balaji, Rishikesh Magar, Yayati Jadhav +1
With the emergence of Transformer architectures and their powerful understanding of textual data, a new horizon has opened up to predict the molecular properties based on text desc…
Materials Informatics Transformer: A Language Model for Interpretable Materials Properties Prediction
Hongshuo Huang, Rishikesh Magar, Changwen Xu +1
Recently, the remarkable capabilities of large language models (LLMs) have been illustrated across a variety of research domains such as natural language processing, computer visio…