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Fangping Wan

Showing results (11-20 of 28) with videos related to

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Nature Protocols|May 14, 2025
Tutorial: guidelines for the use of machine learning methods to mine genomes and proteomes for antibiotic discoveryFangping Wan, Marcelo D T Torres, Changge Guan, et al.
Biorxiv : the Preprint Server for Biology|November 24, 2025
Design of multimodal antibiotics using deep learningAngela Cesaro, Fangping Wan, Marcelo D T Torres, et al.
Arxiv|July 17, 2025
Predicting and generating antibiotics against future pathogens with ApexOracleTianang Leng, Fangping Wan, Marcelo Der Torossian Torres, et al.
Biorxiv : the Preprint Server for Biology|January 20, 2025
Improving functional protein generation via foundation model-derived latent space likelihood optimizationChangge Guan, Fangping Wan, Marcelo D T Torres, et al.
Expert Opinion on Drug Discovery|October 5, 2023
Deep learning tools to accelerate antibiotic discoveryAngela Cesaro, Mojtaba Bagheri, Marcelo Torres, et al.
Nature Biomedical Engineering|June 11, 2024
Deep-learning-enabled antibiotic discovery through molecular de-extinctionFangping Wan, Marcelo D T Torres, Jacqueline Peng, et al.
Bioinformatics (Oxford, England)|January 18, 2020
Secure multiparty computation for privacy-preserving drug discoveryRong Ma, Yi Li, Chenxing Li, et al.
Biorxiv : the Preprint Server for Biology|February 20, 2025
Generative latent diffusion language modeling yields anti-infective synthetic peptidesMarcelo D T Torres, Tianlai Chen, Fangping Wan, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 2, 2021
A machine learning-based framework for modeling transcription elongationPeiyuan Feng, An Xiao, Meng Fang, et al.
Nature Communications|September 16, 2021
A deep-learning framework for multi-level peptide-protein interaction predictionYipin Lei, Shuya Li, Ziyi Liu, et al.
Pageof 3

Showing results (11-20 of 28) with videos related to

Sort By:
Pageof 3
Nature Protocols|May 14, 2025
Tutorial: guidelines for the use of machine learning methods to mine genomes and proteomes for antibiotic discoveryFangping Wan, Marcelo D T Torres, Changge Guan, et al.
Biorxiv : the Preprint Server for Biology|November 24, 2025
Design of multimodal antibiotics using deep learningAngela Cesaro, Fangping Wan, Marcelo D T Torres, et al.
Arxiv|July 17, 2025
Predicting and generating antibiotics against future pathogens with ApexOracleTianang Leng, Fangping Wan, Marcelo Der Torossian Torres, et al.
Biorxiv : the Preprint Server for Biology|January 20, 2025
Improving functional protein generation via foundation model-derived latent space likelihood optimizationChangge Guan, Fangping Wan, Marcelo D T Torres, et al.
Expert Opinion on Drug Discovery|October 5, 2023
Deep learning tools to accelerate antibiotic discoveryAngela Cesaro, Mojtaba Bagheri, Marcelo Torres, et al.
Nature Biomedical Engineering|June 11, 2024
Deep-learning-enabled antibiotic discovery through molecular de-extinctionFangping Wan, Marcelo D T Torres, Jacqueline Peng, et al.
Bioinformatics (Oxford, England)|January 18, 2020
Secure multiparty computation for privacy-preserving drug discoveryRong Ma, Yi Li, Chenxing Li, et al.
Biorxiv : the Preprint Server for Biology|February 20, 2025
Generative latent diffusion language modeling yields anti-infective synthetic peptidesMarcelo D T Torres, Tianlai Chen, Fangping Wan, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 2, 2021
A machine learning-based framework for modeling transcription elongationPeiyuan Feng, An Xiao, Meng Fang, et al.
Nature Communications|September 16, 2021
A deep-learning framework for multi-level peptide-protein interaction predictionYipin Lei, Shuya Li, Ziyi Liu, et al.
Pageof 3