Search Results - "Chuang, Kangway V"
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1
Interpretable classification of Alzheimer’s disease pathologies with a convolutional neural network pipeline
Published in Nature communications (15-05-2019)“…Neuropathologists assess vast brain areas to identify diverse and subtly-differentiated morphologies. Standard semi-quantitative scoring approaches, however,…”
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2
A 15-step synthesis of (+)-ryanodol
Published in Science (American Association for the Advancement of Science) (26-08-2016)“…(+)-Ryanodine and (+)-ryanodol are complex diterpenoids that modulate intracellular calcium-ion release at ryanodine receptors, ion channels critical for…”
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3
Copper-Catalyzed Diastereoselective Arylation of Tryptophan Derivatives: Total Synthesis of (+)-Naseseazines A and B
Published in Journal of the American Chemical Society (17-04-2013)“…A copper-catalyzed arylation of tryptophan derivatives is reported. The reaction proceeds with high site- and diastereoselectivity to provide aryl…”
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4
Short, Enantioselective Total Syntheses of (−)-8-Demethoxyrunanine and (−)-Cepharatines A, C, and D
Published in Angewandte Chemie International Edition (26-09-2011)“…All together! A unified synthetic strategy has resulted in the first enantioselective total syntheses of the natural products 8‐demethoxyrunanine and…”
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5
CREMP: Conformer-rotamer ensembles of macrocyclic peptides for machine learning
Published in Scientific data (09-08-2024)“…Computational and machine learning approaches to model the conformational landscape of macrocyclic peptides have the potential to enable rational design and…”
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6
Learning Molecular Representations for Medicinal Chemistry
Published in Journal of medicinal chemistry (27-08-2020)“…The accurate modeling and prediction of small molecule properties and bioactivities depend on the critical choice of molecular representation. Decades of…”
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7
Comment on "Predicting reaction performance in C-N cross-coupling using machine learning"
Published in Science (American Association for the Advancement of Science) (16-11-2018)“…Ahneman (Reports, 13 April 2018) applied machine learning models to predict C-N cross-coupling reaction yields. The models use atomic, electronic, and…”
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8
Learning Molecular Representations for Medicinal Chemistry: Miniperspective
Published in Journal of medicinal chemistry (27-08-2020)“…The accurate modeling and prediction of small molecule properties and bioactivities depend on the critical choice of molecular representation. Decades of…”
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9
Adversarial Controls for Scientific Machine Learning
Published in ACS chemical biology (19-10-2018)“…New machine learning methods to analyze raw chemical and biological data are now widely accessible as open-source toolkits. This positions researchers to…”
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10
Proximity Graph Networks: Predicting Ligand Affinity with Message Passing Neural Networks
Published in Journal of chemical information and modeling (22-07-2024)“…Message passing neural networks (MPNNs) on molecular graphs generate continuous and differentiable encodings of small molecules with state-of-the-art…”
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11
A Mild and General Larock Indolization Protocol for the Preparation of Unnatural Tryptophans
Published in Organic letters (16-09-2016)“…A mild and general protocol for the Pd(0)-catalyzed heteroannulation of o-bromoanilines and alkynes is described. Application of a Pd(0)/P( t Bu)3 catalyst…”
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12
Short, Enantioselective Total Syntheses of (-)-8-Demethoxyrunanine and (-)-CepharatinesA, C, and D
Published in Angewandte Chemie International Edition (26-09-2011)Get full text
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13
CREMP: Conformer-rotamer ensembles of macrocyclic peptides for machine learning
Published 09-08-2024“…Sci. Data 11, 859 (2024) Computational and machine learning approaches to model the conformational landscape of macrocyclic peptides have the potential to…”
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14
Attention-Based Learning on Molecular Ensembles
Published 25-11-2020“…The three-dimensional shape and conformation of small-molecule ligands are critical for biomolecular recognition, yet encoding 3D geometry has not improved…”
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15
Short, Enantioselective Total Syntheses of (−)-8-Demethoxyrunanine and (−)-Cepharatines A, C, and D
Published in Angewandte Chemie (26-09-2011)“…Alle gemeinsam! Eine vereinheitlichte Synthesestrategie ermöglichte die erste enantioselektive Totalsynthese der Naturstoffe 8‐Demethoxyrunanin, Cepharatin A,…”
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16
Accurate and Efficient Structural Ensemble Generation of Macrocyclic Peptides using Internal Coordinate Diffusion
Published 30-05-2023“…Macrocyclic peptides are an emerging therapeutic modality, yet computational approaches for accurately sampling their diverse 3D ensembles remain challenging…”
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17
Improving Graph Generation by Restricting Graph Bandwidth
Published 25-01-2023“…Deep graph generative modeling has proven capable of learning the distribution of complex, multi-scale structures characterizing real-world graphs. However,…”
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18
A 3D-Shape Similarity-based Contrastive Approach to Molecular Representation Learning
Published 03-11-2022“…Molecular shape and geometry dictate key biophysical recognition processes, yet many graph neural networks disregard 3D information for molecular property…”
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19
Short, Enantioselective Total Syntheses of (−)‐8‐Demethoxyrunanine and (−)‐Cepharatines A, C, and D
Published in Angewandte Chemie (26-09-2011)Get full text
Journal Article -
20
Short, Enantioselective Total Syntheses of (-)-8-Demethoxyrunanine and (-)-CepharatinesA, C, and D
Published in Angewandte Chemie (26-09-2011)Get full text
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