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Beilun Wang

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Articles

Explainable deep learning and virtual evolution identifies antimicrobial peptides with activity against multidrug-resistant human pathogens - Nature Microbiology

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By Beilun Wang, Zhou J. Yu
| Nature Verified
Abstract Artificial intelligence (AI) is a promising approach to identify new antimicrobial compounds in diverse microbial species. Here we developed an AI-based, explainable deep learning model, EvoGradient, that predicts the potency of antimicrobial peptides (AMPs) and virtually modifies peptide sequences to produce more potent AMPs, akin to in silico directed evolution.
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Explainable deep learning and virtual evolution identifies antimicrobial peptides with activity against multidrug-resistant human pathogens

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By Beilun Wang, Yuwei Zhong, Xiao Yu Tan, Yangyang Shen, Yi Huang, Kai Jin, Yan Zhang, Ying Zhan, Dian Shen, Meng Wang, Zhou J. Yu, Yihan Wu, Peijun Lin
| Flipboard
3 hours ago Syncytin is a captive retroviral envelope protein involved in human placental morphogenesis nature.com - Sha Mi, Xinhua Lee, Xiang-ping Li, Geertruida M. Veldman, Heather Finnerty, Lisa Racie, Edward LaVallie, Xiang-Yang Tang, Philippe Edouard, Steve Howes, James C. Keith Jr, John M. McCoy • 3h Many mammalian viruses have acquired genes from their hosts during their evolution.
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[1911.12965] Sparse and Low-Rank High-Order Tensor Regression via Parallel Proximal Method

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By Yinghao Cai, Zhaoyang Wang, Beilun Wang
| arXiv
arXiv:1911.12965 (cs) [Submitted on 29 Nov 2019 (v1), last revised 9 Aug 2023 (this version, v2)] Download a PDF of the paper titled Sparse and Low-Rank High-Order Tensor Regression via Parallel Proximal Method, by Jiaqi Zhang and 3 other authors Download PDF Submission history From: Jiaqi Zhang [ view email] [v1] Fri, 29 Nov 2019 06:25:36 UTC (293 KB) [v2] Wed, 9 Aug 2023 16:17:24 UTC (5,055 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Litmaps Toggle...
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