Predicting compound activity from phenotypic profiles and chemical structures https://t.co/eZ7Hui3tGs #biorxiv_bioinfo
Predicting compound activity from phenotypic profiles and chemical structures.
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Dec 2020 – Jul 2023Where it's discussed
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X / Twitter19 posts
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Facebook2 posts
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YouTube1 videos
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The group generally agrees that integrating phenotypic profiles with chemical structures enhances compound activity prediction, with discussions highlighting keywords like 'predicting activity,' 'bioinformatics,' and 'machine learning.' The tone is professional and focused on technical impact, reflecting a shared recognition of the research's importance and potential influence.
Most discussions acknowledge the significance of the research, with some expressing support or positive commentary.
The social discussions reflect a moderate level of interest, often mentioning technical aspects and potential applications.
Participants engage by sharing examples, using hashtags, and referencing related concepts like machine learning and bioinformatics.
The conversations indicate that the publication is viewed as impactful within the scientific community, noted for its technological advancements.
Abstract in brief
- The study compares three types of data—chemical structures, imaging (Cell Painting), and gene expression—to predict whether compounds will be active in various tests, with combined data improving prediction success.
- Using all three data sources together can accurately predict about 21% of assays, which is 2 to 3 times better than using just one type, like chemical structures alone.
- Incorporating phenotypic data (like imaging and gene expression) alongside chemical structures can significantly increase the ability to predict compound activity, helping speed up early drug discovery efforts.]
Top posts
Most liked on X and BlueskyCollaborative paper by @nick_moshkov and @hpke1980 is out in @NatureComms: Predicting compound activity from phenotypic profiles and chemical structures #deeplearning #profiling @SysbioS @BiochemBrc https://t.co/J1K7ZtUFDY
Predicting compound activity from phenotypic profiles and chemical structures https://t.co/ZGG5YwnENX #bioRxiv
Predicting compound activity from phenotypic profiles and chemical structures https://t.co/LiwILkLbdT #MachineLearning #NatureJournal #AI https://t.co/O59Pz11iXy
#BigData #Analytics @rvp @7GTech @5GAIoT Predicting compound activity from phenotypic profiles and chemical structures | bioRxiv https://t.co/d4dz0S4ZYT, see more https://t.co/fcN49LZyPG
RT @biorxiv_bioinfo: Predicting compound activity from phenotypic profiles and chemical structures https://t.co/eZ7Hui3tGs #biorxiv_bioinfo
All mentions
Enhancing Compound Activity Prediction Using Phenotypic and Structural Data
This study compares chemical structures, imaging, and gene expression data to improve prediction of compound activity. Combining all three sources significantly enhances predictive accuracy, aiding early drug discovery…
表現型プロファイルと化学構造から化合物の活性を予測 化学構造(Chemprop)、イメージング (細胞ペインティング)および遺伝子表現プロファイル (L1000) の3つを入力として、化合物の生物活性を予測できる、最大 3つの隠れ層とReLU 活性化関数で構成されたMLP。実装あり。https://t.co/qw9a5EpkcD
RT @BiologicalRese1: Collaborative paper by @nick_moshkov and @hpke1980 is out in @NatureComms: Predicting compound activity from phenotypi…
RT @BiologicalRese1: Collaborative paper by @nick_moshkov and @hpke1980 is out in @NatureComms: Predicting compound activity from phenotypi…
Collaborative paper by @nick_moshkov and @hpke1980 is out in @NatureComms: Predicting compound activity from phenotypic profiles and chemical structures #deeplearning #profiling @SysbioS @BiochemBrc https://t.co/J1K7ZtUFDY
Predicting compound activity from phenotypic profiles and chemical structures. https://t.co/iMIjOklZQT
Predicting compound activity from phenotypic profiles and chemical structures null https://t.co/Vk5LNzHxLO #DTHSTR
Predicting compound activity from phenotypic profiles and chemical structures https://t.co/LiwILkLbdT #MachineLearning #NatureJournal #AI https://t.co/O59Pz11iXy
RT Predicting compound activity from phenotypic profiles and chemical structures https://t.co/JATKNqdsqp https://t.co/stT4ndRjax
RT @biorxiv_bioinfo: Predicting compound activity from phenotypic profiles and chemical structures https://t.co/eZ7Hui3tGs #biorxiv_bioinfo
RT @biorxiv_bioinfo: Predicting compound activity from phenotypic profiles and chemical structures https://t.co/eZ7Hui3tGs #biorxiv_bioinfo
#bioRxiv Predicting compound activity from phenotypic profiles and chemical structures #bioinfo https://t.co/HSZ8xNdzQT
Predicting compound activity from phenotypic profiles and chemical structures | bioRxiv https://t.co/C0XAAdOFQh, see more https://t.co/rZAoVHQvUa
#BigData #Analytics @rvp @7GTech @5GAIoT Predicting compound activity from phenotypic profiles and chemical structures | bioRxiv https://t.co/d4dz0S4ZYT, see more https://t.co/fcN49LZyPG
RT @biorxiv_bioinfo: Predicting compound activity from phenotypic profiles and chemical structures https://t.co/eZ7Hui3tGs #biorxiv_bioinfo
RT @biorxiv_bioinfo: Predicting compound activity from phenotypic profiles and chemical structures https://t.co/eZ7Hui3tGs #biorxiv_bioinfo
RT @biorxiv_bioinfo: Predicting compound activity from phenotypic profiles and chemical structures https://t.co/eZ7Hui3tGs #biorxiv_bioinfo
RT @biorxiv_bioinfo: Predicting compound activity from phenotypic profiles and chemical structures https://t.co/eZ7Hui3tGs #biorxiv_bioinfo
Predicting compound activity from phenotypic profiles and chemical structures https://t.co/eZ7Hui3tGs #biorxiv_bioinfo
Predicting compound activity from phenotypic profiles and chemical structures https://t.co/ZGG5YwnENX #bioRxiv