Cover Image

CreoPep: A Universal Deep Learning Framework for Target-Specific Peptide Design and Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ge, Cheng, Tae, Han-Shen, Zhang, Zhenqiang, Lu, Lu, Huang, Zhijie, Wang, Yilin, Jiang, Tao, Cai, Wenqing, Chang, Shan, Adams, David J., Yu, Rilei
Format:	Preprint
Published:	2025
Subjects:	Biomolecules Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Target-Specific De Novo Peptide Binder Design with DiffPepBuilder
by: Wang, Fanhao, et al.
Published: (2024)

NS-Pep: De novo Peptide Design with Non-Standard Amino Acids
by: Guo, Tao, et al.
Published: (2025)

PepMLM: Target Sequence-Conditioned Generation of Therapeutic Peptide Binders via Span Masked Language Modeling
by: Chen, Tianlai, et al.
Published: (2023)

PepDoRA: A Unified Peptide Language Model via Weight-Decomposed Low-Rank Adaptation
by: Wang, Leyao, et al.
Published: (2024)

PepTune: De Novo Generation of Therapeutic Peptides with Multi-Objective-Guided Discrete Diffusion
by: Tang, Sophia, et al.
Published: (2024)

Targeting Melanoma-Specific Tyrosinase: Cyclic Peptide Disrupts Actin Dynamics for Precision Apoptosis Induction
by: Zhao, Ruoyang, et al.
Published: (2025)

StaPep: an open-source tool for the structure prediction and feature extraction of hydrocarbon-stapled peptides
by: Wang, Zhe, et al.
Published: (2024)

Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design
by: Zhou, Xiangxin, et al.
Published: (2024)

PepINVENT: Generative peptide design beyond the natural amino acids
by: Geylan, Gökçe, et al.
Published: (2024)

Precision Design of Cyclic Peptides using AlphaFold
by: Au, Cheuk Sau
Published: (2025)

Full-Atom Peptide Design with Geometric Latent Diffusion
by: Kong, Xiangzhe, et al.
Published: (2024)

PepGB: Facilitating peptide drug discovery via graph neural networks
by: Lei, Yipin, et al.
Published: (2024)

Score-Based Generative Models for Designing Binding Peptide Backbones
by: Boom, John D, et al.
Published: (2023)

Leveraging Deep Generative Model For Computational Protein Design And Optimization
by: Lai, Boqiao
Published: (2024)

Peptide Vaccine Design by Evolutionary Multi-Objective Optimization
by: Liu, Dan-Xuan, et al.
Published: (2024)

PPFlow: Target-aware Peptide Design with Torsional Flow Matching
by: Lin, Haitao, et al.
Published: (2024)

PepHarmony: A Multi-View Contrastive Learning Framework for Integrated Sequence and Structure-Based Peptide Encoding
by: Zhang, Ruochi, et al.
Published: (2024)

Peptide Structure Prediction Using Counter-Diabatic Quantum Approximate Optimization Algorithm (CD-QAOA)
by: Yun, Sung Won, et al.
Published: (2026)

Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization
by: Zhou, Xiangxin, et al.
Published: (2024)

Integrating Chemical Language and Molecular Graph in Multimodal Fused Deep Learning for Drug Property Prediction
by: Lu, Xiaohua, et al.
Published: (2023)

Target search in the CRISPR/Cas9 system: Facilitated diffusion with target cues
by: Lu, Qiao, et al.
Published: (2024)

Minimal-Action Discrete Schrödinger Bridge Matching for Peptide Sequence Design
by: Goel, Shrey, et al.
Published: (2026)

Designing Cyclic Peptides via Harmonic SDE with Atom-Bond Modeling
by: Zhou, Xiangxin, et al.
Published: (2025)

Pep2Prob Benchmark: Predicting Fragment Ion Probability for MS$^2$-based Proteomics
by: Xu, Hao, et al.
Published: (2025)

Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension
by: Li, Jiahan, et al.
Published: (2024)

Sampling-based Continuous Optimization for Messenger RNA Design
by: Yue, Feipeng, et al.
Published: (2026)

TumorHoPe2: An updated database for Tumor Homing Peptides
by: Kashyap, Diksha, et al.
Published: (2025)

Challenges and Guidelines in Deep Generative Protein Design: Four Case Studies
by: Zheng, Tianyuan, et al.
Published: (2024)

Disentangling the Complex Multiplexed DIA Spectra in De Novo Peptide Sequencing
by: Ma, Zheng, et al.
Published: (2024)

Algorithm for Optimized mRNA Design Improves Stability and Immunogenicity
by: Zhang, He, et al.
Published: (2020)

CPTCs Drive Somatic-Visceral Communication via the Wnt Axis in Somatic Mechanotherapy: A Single-Cell Deep Learning Study
by: Huang, Haixiang, et al.
Published: (2026)

Interpretable QSPR Modeling using Recursive Feature Machines and Multi-scale Fingerprints
by: Shen, Jiaxuan, et al.
Published: (2024)

DeepRLI: A Multi-objective Framework for Universal Protein--Ligand Interaction Prediction
by: Lin, Haoyu, et al.
Published: (2024)

MuCO: Generative Peptide Cyclization Empowered by Multi-stage Conformation Optimization
by: Wang, Yitian, et al.
Published: (2026)

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction
by: Ma, Jiahao, et al.
Published: (2025)

Directly Optimizing for Synthesizability in Generative Molecular Design using Retrosynthesis Models
by: Guo, Jeff, et al.
Published: (2024)

RiboPO: Preference Optimization for Structure- and Stability-Aware RNA Design
by: Sun, Minghao, et al.
Published: (2025)

SeedProteo: Accurate De Novo All-Atom Design of Protein Binders
by: Qu, Wei, et al.
Published: (2025)

Cross-Chirality Generalization by Axial Vectors for Hetero-Chiral Protein-Peptide Interaction Design
by: Yang, Ziyi, et al.
Published: (2026)

RNACG: A Universal RNA Sequence Conditional Generation model based on Flow-Matching
by: Gao, Letian, et al.
Published: (2024)