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MIT unveils CheMeleon, an open-source chemistry foundation model

By PulseAugur Editorial · [1 sources] ·

Researchers at MIT have developed CheMeleon, an open-source foundation model for chemistry capable of predicting molecular properties even with limited data. Trained on a vast dataset of molecule descriptors, CheMeleon can be fine-tuned for specific properties like solubility or toxicity using only a few examples. In evaluations, it outperformed expert-designed models on 58 different test cases. AI

IMPACT This model could accelerate drug discovery and materials science by enabling faster prediction of molecular properties with less data.

RANK_REASON The cluster describes the release of a new foundation model for a specific scientific domain (chemistry) by a research institution. [lever_c_demoted from research: ic=1 ai=1.0]

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

MIT unveils CheMeleon, an open-source chemistry foundation model

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18 / 100
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The cluster describes the release of a new foundation model for a specific scientific domain (chemistry) by a research institution. [lever_c_demoted from research: ic=1 ai=1.0]
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model release, paper, product
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High
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    MIT researchers have built CheMeleon, a foundation model for chemistry that predicts molecular properties from scant data. Pre-trained on descriptors of a milli

    MIT researchers have built CheMeleon, a foundation model for chemistry that predicts molecular properties from scant data. Pre-trained on descriptors of a million PubChem molecules, it can be fine-tuned for solubility, toxicity or binding affinity with only a handful of examples,…

    LINKS news.mit.edu/…/how-to-predict-molecule-be…

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