Aug. 16, 2022, 1:10 a.m. | Brian Belgodere, Vijil Chenthamarakshan, Payel Das, Pierre Dognin, Toby Kurien, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross,

cs.LG updates on arXiv.org arxiv.org

With the prospect of automating a number of chemical tasks with high
fidelity, chemical language processing models are emerging at a rapid speed.
Here, we present a cloud-based real-time platform that allows users to
virtually screen molecules of interest. For this purpose, molecular embeddings
inferred from a recently proposed large chemical language model, named
MolFormer, are leveraged. The platform currently supports three tasks: nearest
neighbor retrieval, chemical space visualization, and property prediction.
Based on the functionalities of this platform and …

arxiv cloud cloud-based lg platform real-time time

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