Search Results - "Hsieh, Chang Yu"
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Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models
Published in Journal of cheminformatics (17-02-2021)“…Graph neural networks (GNN) has been considered as an attractive modelling method for molecular property prediction, and numerous studies have shown that GNN…”
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A unified drug–target interaction prediction framework based on knowledge graph and recommendation system
Published in Nature communications (22-11-2021)“…Prediction of drug-target interactions (DTI) plays a vital role in drug development in various areas, such as virtual screening, drug repurposing and…”
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TrimNet: learning molecular representation from triplet messages for biomedicine
Published in Briefings in bioinformatics (01-07-2021)“…Abstract Motivation Computational methods accelerate drug discovery and play an important role in biomedicine, such as molecular property prediction and…”
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Analysis of the forward-backward trajectory solution for the mixed quantum-classical Liouville equation
Published in The Journal of chemical physics (07-04-2013)“…Mixed quantum-classical methods provide powerful algorithms for the simulation of quantum processes in large and complex systems. The forward-backward…”
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An equivariant generative framework for molecular graph-structure Co-design
Published in Chemical science (Cambridge) (09-08-2023)“…Designing molecules with desirable physiochemical properties and functionalities is a long-standing challenge in chemistry, material science, and drug…”
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Effectiveness and safety of reduced‐dose secukinumab switching to risankizumab for psoriasis patients in Asian population: A case series
Published in Experimental dermatology (01-07-2023)Get full text
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Chemistry-intuitive explanation of graph neural networks for molecular property prediction with substructure masking
Published in Nature communications (04-05-2023)“…Graph neural networks (GNNs) have been widely used in molecular property prediction, but explaining their black-box predictions is still a challenge. Most…”
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Neural predictor based quantum architecture search
Published in Machine learning: science and technology (01-12-2021)“…Variational quantum algorithms (VQAs) are widely speculated to deliver quantum advantages for practical problems under the quantum–classical hybrid…”
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Aggravation of discoid lupus erythematosus in a patient with psoriasis and psoriatic arthritis during treatment of secukinumab: A case report and review of literature
Published in Lupus (01-06-2022)“…Background The coexistence of psoriasis and cutaneous lupus erythematosus (LE) is uncommon. Treatment for concomitant psoriasis and LE is challenging because…”
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Deep Learning for Optoelectronic Properties of Organic Semiconductors
Published in Journal of physical chemistry. C (02-04-2020)“…Atomistic modeling of the optoelectronic properties of organic semiconductors (OSCs) requires a large number of excited-state electronic-structure…”
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A generalized protein-ligand scoring framework with balanced scoring, docking, ranking and screening powers
Published in Chemical science (Cambridge) (02-08-2023)“…Applying machine learning algorithms to protein-ligand scoring functions has aroused widespread attention in recent years due to the high predictive accuracy…”
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Response to “a case of acquired idiopathic generalized anhidrosis following severe acute respiratory syndrome coronavirus 2 vaccination”
Published in Journal of dermatology (01-01-2024)Get full text
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Lack of IL36RN sequence variation in three Chinese patients with subcorneal pustular dermatoses
Published in Journal of dermatology (01-11-2024)Get full text
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Acquired diffuse palmoplantar erythema with keratoderma in Chinese patients with pustular psoriasis: A predictor for IL36 receptor antagonist c.115+6T>C mutation?
Published in Experimental dermatology (01-03-2024)“…Several studies have suggested that mutation of the interleukin 36 receptor antagonist gene (IL36RN) is related to generalized pustular psoriasis (GPP), and…”
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Deficiency of interleukin‐36 receptor antagonist (DITRA): An analysis of 58 Chinese patients in a tertiary hospital in Taiwan
Published in Experimental dermatology (01-08-2023)“…DITRA, acronym for deficiency of interleukin‐36 receptor antagonist (IL36RN), leads to unopposed pro‐inflammatory signalling which typically manifests as…”
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Knowledge-based BERT: a method to extract molecular features like computational chemists
Published in Briefings in bioinformatics (13-05-2022)“…Abstract Molecular property prediction models based on machine learning algorithms have become important tools to triage unpromising lead molecules in the…”
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Introducing block design in graph neural networks for molecular properties prediction
Published in Chemical engineering journal (Lausanne, Switzerland : 1996) (15-06-2021)“…•An algorithm named block-based graph neural network (BGNN) was proposed.•BGNN can reduce the impact of the network degradation problem.•BGNN can get lower MAE…”
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CarsiDock: a deep learning paradigm for accurate protein-ligand docking and screening based on large-scale pre-training
Published in Chemical science (Cambridge) (24-01-2024)“…The expertise accumulated in deep neural network-based structure prediction has been widely transferred to the field of protein-ligand binding pose prediction,…”
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Predictors for the effectiveness of 75 mg risankizumab in treating psoriasis—A real‐word evidence from a 52‐week retrospective study
Published in Experimental dermatology (01-12-2023)“…In the registration trial of risankizumab for patients with moderate‐to‐severe psoriasis in Japan, similar Psoriasis Area Severity Index (PASI) responses were…”
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Acquired idiopathic generalized anhidrosis diagnosed following mRNA COVID‐19 vaccination—A case series
Published in Australasian journal of dermatology (01-02-2023)Get full text
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