Cover Image

Generative Humanization for Therapeutic Antibodies

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gordon, Cade, Raghu, Aniruddh, Greenside, Peyton, Elliott, Hunter
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Quantitative Methods
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Is Sequence Information All You Need for Bayesian Optimization of Antibodies?
by: Ober, Sebastian W., et al.
Published: (2025)

Improving Antibody Humanness Prediction using Patent Data
by: Ucar, Talip, et al.
Published: (2024)

How to make the most of your masked language model for protein engineering
by: McCarter, Calvin, et al.
Published: (2026)

Decoupled Sequence and Structure Generation for Realistic Antibody Design
by: Kim, Nayoung, et al.
Published: (2024)

Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences
by: Amin, Alan Nawzad, et al.
Published: (2024)

Multi-Modality Representation Learning for Antibody-Antigen Interactions Prediction
by: Guo, Peijin, et al.
Published: (2025)

BOAT: Navigating the Sea of In Silico Predictors for Antibody Design via Multi-Objective Bayesian Optimization
by: Rao, Jackie, et al.
Published: (2026)

Sequence-Only Prediction of Binding Affinity Changes: A Robust and Interpretable Model for Antibody Engineering
by: Liu, Chen, et al.
Published: (2025)

A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation
by: Wang, Yongkang, et al.
Published: (2023)

AntibodyFlow: Normalizing Flow Model for Designing Antibody Complementarity-Determining Regions
by: Xu, Bohao, et al.
Published: (2024)

Inferring the time-varying coupling of dynamical systems with temporal convolutional autoencoders
by: Calderon, Josuan, et al.
Published: (2024)

AbAffinity: A Large Language Model for Predicting Antibody Binding Affinity against SARS-CoV-2
by: Ashraf, Faisal Bin, et al.
Published: (2026)

Improving Antibody Design with Force-Guided Sampling in Diffusion Models
by: Kulytė, Paulina, et al.
Published: (2024)

Biologically-Grounded Multi-Encoder Architectures as Developability Oracles for Antibody Design
by: Crouzet, Simon J.
Published: (2026)

Llama-Affinity: A Predictive Antibody Antigen Binding Model Integrating Antibody Sequences with Llama3 Backbone Architecture
by: Hossain, Delower, et al.
Published: (2025)

Guided Sequence-Structure Generative Modeling for Iterative Antibody Optimization
by: Raghu, Aniruddh, et al.
Published: (2025)

A Diffusion Model to Shrink Proteins While Maintaining Their Function
by: Baron, Ethan, et al.
Published: (2025)

ImmunoAI: Accelerated Antibody Discovery Using Gradient-Boosted Machine Learning with Thermodynamic-Hydrodynamic Descriptors and 3D Geometric Interface Topology
by: Shivakumar, Shawnak, et al.
Published: (2025)

A Simple yet Effective DDG Predictor is An Unsupervised Antibody Optimizer and Explainer
by: Wu, Lirong, et al.
Published: (2025)

Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization
by: Wu, Lirong, et al.
Published: (2024)

Interpretable High-order Knowledge Graph Neural Network for Predicting Synthetic Lethality in Human Cancers
by: Chen, Xuexin, et al.
Published: (2025)

Deep Active Learning based Experimental Design to Uncover Synergistic Genetic Interactions for Host Targeted Therapeutics
by: Zhu, Haonan, et al.
Published: (2025)

Leveraging Large Language Models to Predict Antibody Biological Activity Against Influenza A Hemagglutinin
by: Barkan, Ella, et al.
Published: (2025)

Improving Molecule Generation and Drug Discovery with a Knowledge-enhanced Generative Model
by: Malusare, Aditya, et al.
Published: (2024)

Peptide-GPT: Generative Design of Peptides using Generative Pre-trained Transformers and Bio-informatic Supervision
by: Shah, Aayush, et al.
Published: (2024)

pAE: An Efficient Autoencoder Architecture for Modeling the Lateral Geniculate Nucleus by Integrating Feedforward and Feedback Streams in Human Visual System
by: Gorji, Moslem, et al.
Published: (2024)

Conformation Generation using Transformer Flows
by: Shah, Sohil Atul, et al.
Published: (2024)

Improved Therapeutic Antibody Reformatting through Multimodal Machine Learning
by: Xin, Jiayi, et al.
Published: (2025)

Towards DNA-Encoded Library Generation with GFlowNets
by: Koziarski, Michał, et al.
Published: (2024)

Flow-Matching Based Refiner for Molecular Conformer Generation
by: Xu, Xiangyang, et al.
Published: (2025)

ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation
by: Hassan, Majdi, et al.
Published: (2024)

Transition Path Sampling with Boltzmann Generator-based MCMC Moves
by: Plainer, Michael, et al.
Published: (2023)

HDTree: Generative Modeling of Cellular Hierarchies for Robust Lineage Inference
by: Zang, Zelin, et al.
Published: (2025)

DiffMS: Diffusion Generation of Molecules Conditioned on Mass Spectra
by: Bohde, Montgomery, et al.
Published: (2025)

AI-driven Generation of MALDI-TOF MS for Microbial Characterization
by: Schmidt-Santiago, Lucía, et al.
Published: (2025)

Curriculum-Augmented GFlowNets For mRNA Sequence Generation
by: Laajil, Aya, et al.
Published: (2025)

Can LLMs Generate Diverse Molecules? Towards Alignment with Structural Diversity
by: Jang, Hyosoon, et al.
Published: (2024)

Deep Generative Modeling for Identification of Noisy, Non-Stationary Dynamical Systems
by: Voina, Doris, et al.
Published: (2024)

Breaking the Bottlenecks: Scalable Diffusion Models for 3D Molecular Generation
by: Das, Adrita, et al.
Published: (2026)

Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences
by: Kim, Minsu, et al.
Published: (2023)