Fangping Wan
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  • Publications
    • Generative latent diffusion language modeling yields anti-infective synthetic peptides
    • Deep learning reveals antibiotics in the archaeal proteome
    • Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization
    • Predicting and generating antibiotics against future pathogens with ApexOracle
    • Large Scale Multi-Task Bayesian Optimization with Large Language Models
    • Antiviral discovery using sparse datasets by integrating experiments, molecular simulations, and machine learning
    • Tutorial: guidelines for the use of machine learning methods to mine genomes and proteomes for antibiotic discovery
    • Improving functional protein generation via foundation model-derived latent space likelihood optimization
    • Design of multimodal antibiotics against intracellular infections using deep learning
    • A generative artificial intelligence approach for antibiotic optimization
    • Analyzing Large-Scale Single-Cell RNA-Seq Data Using Coreset
    • Deep-learning-enabled antibiotic discovery through molecular de-extinction
    • Machine Learning for Antimicrobial Peptide Identification and Design
    • Deep learning tools to accelerate antibiotic discovery
    • Improving molecular property prediction through a task similarity enhanced transfer learning strategy
    • Deep generative models for peptide design
    • A community challenge for a pancancer drug mechanism of action inference from perturbational profile data
    • A deep-learning framework for multi-level peptide-protein interaction prediction
    • Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth
    • Crowdsourced mapping of unexplored target space of kinase inhibitors
    • An integrative drug repositioning framework discovered a potential therapeutic agent targeting COVID-19
    • A novel machine learning based framework for modeling transcription elongation
    • MoTSE: an interpretable task similarity estimator for small molecular property prediction tasks
    • A novel machine learning framework for automated biomedical relation extraction from large-scale literature repositories
    • Secure multiparty computation for privacy-preserving drug discovery
    • MONN: A Multi-objective Neural Network for Predicting Compound-Protein Interactions and Anities
    • EXP2SL: A Machine Learning Framework for Cell-Line-Specific Synthetic Lethality Prediction
    • ACME: pan-specific peptide-MHC class I binding prediction through attention-based deep neural networks
    • DeepCPI: A Deep Learning-based Framework for Large-scale in silico Drug Screening
    • NeoDTI: neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
  • Projects
    • Pandas
    • PyTorch
    • scikit-learn
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  • Experience
  • Hugo Blox
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    • Guide
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      • Formatting
        • Embed Media
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    • Reference
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Courses
Hugo Blox
Reference
Internationalization (i18n)

Internationalization (i18n)

Hugo Blox enables you to easily edit the interface text as well as translating your site into multiple languages using Hugo’s multilingual feature.

View the full docs at https://docs.hugoblox.com/reference/language/

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