Search Results - "Kyro, Gregory W"
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Turning up the heat mimics allosteric signaling in imidazole-glycerol phosphate synthase
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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Author Correction: Turning up the heat mimics allosteric signaling in imidazole-glycerol phosphate synthase
Published in Nature communications (05-05-2023)Get full text
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Twisting and swiveling domain motions in Cas9 to recognize target DNA duplexes, make double-strand breaks, and release cleaved duplexes
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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HAC-Net: A Hybrid Attention-Based Convolutional Neural Network for Highly Accurate Protein–Ligand Binding Affinity Prediction
Published in Journal of chemical information and modeling (10-04-2023)“…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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5
MDiGest: A Python package for describing allostery from molecular dynamics simulations
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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ChemSpaceAL: An Efficient Active Learning Methodology Applied to Protein-Specific Molecular Generation
Published in Journal of chemical information and modeling (12-02-2024)“…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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Structural Basis for Reduced Dynamics of Three Engineered HNH Endonuclease Lys-to-Ala Mutants for the Clustered Regularly Interspaced Short Palindromic Repeat (CRISPR)-Associated 9 (CRISPR/Cas9) Enzyme
Published in Biochemistry (Easton) (03-05-2022)“…Many bacteria possess type-II immunity against invading phages or plasmids known as the clustered regularly interspaced short palindromic repeat…”
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Electrostatic networks for characterization of allosteric pathways: Allosteric paths in Cas9 apo, DNA- and RNA-bound forms
Published in Biophysical journal (10-02-2023)Get full text
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9
The landscape of computational approaches for artificial photosynthesis
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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Quantum convolutional neural networks for multi-channel supervised learning
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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Quantum Convolutional Neural Networks for Multi-Channel Supervised Learning
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
HAC-Net: A Hybrid Attention-Based Convolutional Neural Network for Highly Accurate Protein-Ligand Binding Affinity Prediction
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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13
CardioGenAI: A Machine Learning-Based Framework for Re-Engineering Drugs for Reduced hERG Liability
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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ChemSpaceAL: An Efficient Active Learning Methodology Applied to Protein-Specific Molecular Generation
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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Quantum Machine Learning in Drug Discovery: Applications in Academia and Pharmaceutical Industries
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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