Fangping Wan
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    • 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
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    • 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
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    • A novel machine learning based framework for modeling transcription elongation
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    • 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
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Deep generative models for peptide design

Mar 31, 2022·
Fangping Wan*
,
Daphne Kontogiorgos-Heintz*
,
Cesar De La Fuente-Nunez
· 0 min read
Site
Type
Journal article
Publication
Digital Discovery, 2022
Last updated on Mar 31, 2022
← Improving molecular property prediction through a task similarity enhanced transfer learning strategy Oct 21, 2022
A community challenge for a pancancer drug mechanism of action inference from perturbational profile data Jan 18, 2022 →