GP-molformer: A Foundation Model For Molecular Generation

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This is a In Vitro Study study.

Jerret Ross; Brian Belgodere; Samuel C. Hoffman; Vijil Chenthamarakshan; Jiří Navrátil; Youssef Mroueh; Payel Das

doi:10.1039/d5dd00122f

January 1, 2025Digital DiscoveryOpen Access

GP-molformer: A Foundation Model For Molecular Generation

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Key Points

Molecular generation improves with foundation models, enhancing various chemical structures and properties.
Transformers trained on extensive datasets can capture complex relations through advanced modeling techniques.
This framework utilizes a foundation model approach, bridging gaps in molecular string analysis for better outcomes.
Implications suggest new pathways for drug discovery and material science through effective molecular property modeling.

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Implication

This foundation model enhances molecular generation, showing improved structure-property relation modeling.

Abstract

Transformer-based models trained on large and general purpose datasets consisting of molecular strings have recently emerged as a powerful tool for successfully modeling various structure-property relations. Inspired by this success,...

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Cite This Study

Ross et al. (2025) studied this question.

synapsesocial.com/papers/68a6fb9b5502675167ba9520 https://doi.org/10.1039/d5dd00122f

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GP-molformer: A Foundation Model For Molecular Generation

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

GP-molformer: A Foundation Model For Molecular Generation

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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