Apr 21
A Systematic Survey and Benchmark of Deep Learning for Molecular Property Prediction in the Foundation Model Era
★★★★★
significance 3/5
This paper provides a systematic survey of deep learning applications in molecular property prediction, covering paradigms from geometric deep learning to foundation models. It also establishes new benchmarks and proposes directions for more transparent, physics-aware, and uncertainty-calibrated AI models in chemistry.
Why it matters
Standardizing benchmarks for molecular foundation models is essential for bridging the gap between generative AI and reliable drug discovery.
Tags
#molecular biology #deep learning #foundation models #benchmarking #cheminformaticsRelated coverage
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