Deep Scaffold Hopping with Multi-modal Transformer Neural Networks

<p>Scaffold hopping, aiming to identify molecules with novel scaffolds but share a similar target biological activity toward known hit molecules, has always been a topic of interest in rational drug design. Computer-aided scaffold hopping would be a valuable tool but at present it suffers from limited search space and incomplete expert-defined rules and thus provides results of unsatisfactory quality. To addree the issue, we describe a fully data-driven model that learns to perform target-centric scaffold hopping tasks. Our deep multi-modal model, DeepHop, accepts a hit molecule and an interest target protein sequence as inputs and design bioisosteric molecular structures to the target compound. The model was trained on 50K experimental scaffold hopping pairs curated from the public bioactivity database, which spans 40 kinases commonly investigated by medicinal chemists. Extensive experiments demonstrated that DeepHop could design more than 70% molecules with improved bioactivity, high 3D similarity, while low 2D scaffold similarity to the template molecules. Our method achieves 2.2 times larger efficiency than state-of-the-art deep learning methods and 4.7 times than rule-based methods. Case studies have also shown the advantages and usefulness of DeepHop in practical scaffold hopping scenario. </p>

Deep Scaffold Hopping with Multi-modal Transformer Neural Networks

<p>Scaffold hopping, aiming to identify molecules with novel scaffolds but share a similar target biological activity toward known hit molecules, has always been a topic of interest in rational drug design. Computer-aided scaffold hopping would be a valuable tool but at present it suffers from limited search space and incomplete expert-defined rules and thus provides results of unsatisfactory quality. To addree the issue, we describe a fully data-driven model that learns to perform target-centric scaffold hopping tasks. Our deep multi-modal model, DeepHop, accepts a hit molecule and an interest target protein sequence as inputs and design bioisosteric molecular structures to the target compound. The model was trained on 50K experimental scaffold hopping pairs curated from the public bioactivity database, which spans 40 kinases commonly investigated by medicinal chemists. Extensive experiments demonstrated that DeepHop could design more than 70% molecules with improved bioactivity, high 3D similarity, while low 2D scaffold similarity to the template molecules. Our method achieves 2.2 times larger efficiency than state-of-the-art deep learning methods and 4.7 times than rule-based methods. Case studies have also shown the advantages and usefulness of DeepHop in practical scaffold hopping scenario. </p>

The Corelation of Laboratory Practicum Achievements and Achievements Of The Competence Target Of The Department Of KDPK Clinical Private Vocational School Students

Practice at transcendent laboratory to be required deep prop laboratory practice achievement. Mark sense decrease among laboratories practicing achievement with interest target attainment KDPK so causes its low practicing interest target attainment reverential KDPK clinic its low college student ability because training reducing college student upon at laboratory at the time laboratory skill.Analytic observational korelasional with population is college student as much 40 college students by use of tech total samplings. For independent variable is laboratory practicing achievement, dependen's variable which is practicing interest target attainment KDPK'S clinic. Data measurement utilize check list's sheet and rekapan is target then result acquisition it is analysed by use of Mann Whitney . Result that is gotten from this research laboratories practicing achievement a large part be appreciative AB (42,5% meanwhile practicing interest target attainments KDPK'S clinics a considerable part accomplished targets asP big as 90%. Known by point Mann Whitney p = 0,731 therefore this point more than α = 0,05. analisis's result points out no relationship among laboratories practicing achievement with interest target attainment KDPK zoom college student midwifery D3 STIKes Patria Husada Blitar year 2012. With marks sense this research is expected college student coaches its skill to get things square succeeding clinic practice. Keywords: practice, laboratory, interest

DNA Aptamers for the Functionalisation of DNA Origami Nanostructures

DNA origami has emerged in recent years as a powerful technique for designing and building 2D and 3D nanostructures. While the breadth of structures that have been produced is impressive, one of the remaining challenges, especially for DNA origami structures that are intended to carry out useful biomedical tasks in vivo, is to endow them with the ability to detect and respond to molecules of interest. Target molecules may be disease indicators or cell surface receptors, and the responses may include conformational changes leading to the release of therapeutically relevant cargo. Nucleic acid aptamers are ideally suited to this task and are beginning to be used in DNA origami designs. In this review, we consider examples of uses of DNA aptamers in DNA origami structures and summarise what is currently understood regarding aptamer-origami integration. We review three major roles for aptamers in such applications: protein immobilisation, triggering of structural transformation, and cell targeting. Finally, we consider future perspectives for DNA aptamer integration with DNA origami.

DNA Aptamers for Functionalisation of DNA Origami Nanostructures

DNA origami has emerged in recent years as a powerful technique for designing and building 2D and 3D nanostructures. While the breadth of structures that have been produced is impressive, one of the remaining challenges, especially for DNA origami structures intended to carry out useful biomedical tasks in vivo, is to endow them with the ability to detect and respond to molecules of interest. Target molecules may be disease indicators or cell surface receptors, and the responses may include conformational changes leading to release of therapeutically relevant cargo. Nucleic acid aptamers are ideally suited to this task and are beginning to be used in DNA origami designs. In this review we consider examples of uses of DNA aptamers in DNA origami structures and summarise what is currently understood regarding aptamer-origami integration. We review three major roles for aptamers in such applications: protein immobilisation, triggering of structural transformation, and cell targeting. Finally, we consider future perspectives for DNA aptamer integration with DNA origami.

DNA Aptamers for Functionalisation of DNA Origami Nanostructures

DNA origami has emerged in recent years as a powerful technique for designing and building 2D and 3D nanostructures. While the breadth of structures that have been produced is impressive, one of the remaining challenges, especially for DNA origami structures intended to carry out useful biomedical tasks in vivo, is to endow them with the ability to detect and respond to molecules of interest. Target molecules may be disease indicators or cell surface receptors, and the responses may include conformational changes leading to release of therapeutically relevant cargo. Nucleic acid aptamers are ideally suited to this task and are beginning to be used in DNA origami designs. In this review we consider examples of uses of DNA aptamers in DNA origami structures and summarise what is currently understood regarding aptamer-origami integration. We review three major roles for aptamers in such applications: protein immobilisation, triggering of structural transformation, and cell targeting. Finally, we consider future perspectives for DNA aptamer integration with DNA origami.