Search Results - "Kyro, Gregory W"

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  1. 1

    Turning up the heat mimics allosteric signaling in imidazole-glycerol phosphate synthase by Maschietto, Federica, Morzan, Uriel N., Tofoleanu, Florentina, Gheeraert, Aria, Chaudhuri, Apala, Kyro, Gregory W., Nekrasov, Peter, Brooks, Bernard, Loria, J. Patrick, Rivalta, Ivan, Batista, Victor S.

    Published in Nature communications (19-04-2023)
    “…Allosteric drugs have the potential to revolutionize biomedicine due to their enhanced selectivity and protection against overdosage. However, we need to…”
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    Twisting and swiveling domain motions in Cas9 to recognize target DNA duplexes, make double-strand breaks, and release cleaved duplexes by Wang, Jimin, Arantes, Pablo R, Ahsan, Mohd, Sinha, Souvik, Kyro, Gregory W, Maschietto, Federica, Allen, Brandon, Skeens, Erin, Lisi, George P, Batista, Victor S, Palermo, Giulia

    Published in Frontiers in molecular biosciences (09-01-2023)
    “…The CRISPR-associated protein 9 (Cas9) has been engineered as a precise gene editing tool to make double-strand breaks. CRISPR-associated protein 9 binds the…”
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  4. 4

    HAC-Net: A Hybrid Attention-Based Convolutional Neural Network for Highly Accurate Protein–Ligand Binding Affinity Prediction by Kyro, Gregory W., Brent, Rafael I., Batista, Victor S.

    “…Applying deep learning concepts from image detection and graph theory has greatly advanced protein–ligand binding affinity prediction, a challenge with…”
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  5. 5

    MDiGest: A Python package for describing allostery from molecular dynamics simulations by Maschietto, Federica, Allen, Brandon, Kyro, Gregory W, Batista, Victor S

    Published in The Journal of chemical physics (07-06-2023)
    “…Many biological processes are regulated by allosteric mechanisms that communicate with distant sites in the protein responsible for functionality. The binding…”
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  6. 6

    ChemSpaceAL: An Efficient Active Learning Methodology Applied to Protein-Specific Molecular Generation by Kyro, Gregory W., Morgunov, Anton, Brent, Rafael I., Batista, Victor S.

    “…The incredible capabilities of generative artificial intelligence models have inevitably led to their application in the domain of drug discovery. Within this…”
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    The landscape of computational approaches for artificial photosynthesis by Yang, Ke R, Kyro, Gregory W, Batista, Victor S

    Published in Nature Computational Science (01-06-2023)
    “…Artificial photosynthesis is an attractive strategy for converting solar energy into fuels, largely because the Earth receives enough solar energy in one hour…”
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  10. 10

    Quantum convolutional neural networks for multi-channel supervised learning by Smaldone, Anthony M., Kyro, Gregory W., Batista, Victor S.

    Published in Quantum machine intelligence (01-12-2023)
    “…As the rapidly evolving field of machine learning continues to produce incredibly useful tools and models, the potential for quantum computing to provide speed…”
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  11. 11

    Quantum Convolutional Neural Networks for Multi-Channel Supervised Learning by Smaldone, Anthony M, Kyro, Gregory W, Batista, Victor S

    Published 29-08-2023
    “…As the rapidly evolving field of machine learning continues to produce incredibly useful tools and models, the potential for quantum computing to provide speed…”
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  12. 12

    HAC-Net: A Hybrid Attention-Based Convolutional Neural Network for Highly Accurate Protein-Ligand Binding Affinity Prediction by Kyro, Gregory W, Brent, Rafael I, Batista, Victor S

    Published 28-03-2023
    “…Applying deep learning concepts from image detection and graph theory has greatly advanced protein-ligand binding affinity prediction, a challenge with…”
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    Journal Article
  13. 13

    CardioGenAI: A Machine Learning-Based Framework for Re-Engineering Drugs for Reduced hERG Liability by Kyro, Gregory W, Martin, Matthew T, Watt, Eric D, Batista, Victor S

    Published 12-03-2024
    “…The link between in vitro hERG ion channel inhibition and subsequent in vivo QT interval prolongation, a critical risk factor for the development of arrythmias…”
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  14. 14

    ChemSpaceAL: An Efficient Active Learning Methodology Applied to Protein-Specific Molecular Generation by Kyro, Gregory W, Morgunov, Anton, Brent, Rafael I, Batista, Victor S

    Published 04-12-2023
    “…The incredible capabilities of generative artificial intelligence models have inevitably led to their application in the domain of drug discovery. Within this…”
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  15. 15

    Quantum Machine Learning in Drug Discovery: Applications in Academia and Pharmaceutical Industries by Smaldone, Anthony M, Shee, Yu, Kyro, Gregory W, Xu, Chuzhi, Vu, Nam P, Dutta, Rishab, Farag, Marwa H, Galda, Alexey, Kumar, Sandeep, Kyoseva, Elica, Batista, Victor S

    Published 23-09-2024
    “…The nexus of quantum computing and machine learning - quantum machine learning - offers the potential for significant advancements in chemistry. This review…”
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