How the technologies behind self‐driving cars, social networks, ChatGPT, and DALL‐E2 are changing structural biology
M Bochtler - BioEssays, 2025 - Wiley Online Library
The performance of deep Neural Networks (NNs) in the text (ChatGPT) and image (DALL‐
E2) domains has attracted worldwide attention. Convolutional NNs (CNNs), Large …
E2) domains has attracted worldwide attention. Convolutional NNs (CNNs), Large …
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance
Variational Autoencoder based Bayesian Optimization (VAE-BO) has demonstrated its
excellent performance in addressing high-dimensional structured optimization problems …
excellent performance in addressing high-dimensional structured optimization problems …
BC-Design: A Biochemistry-Aware Framework for Highly Accurate Inverse Protein Folding
Inverse protein folding, which aims to design amino acid sequences for desired protein
structures, is fundamental to protein engineering and therapeutic development. While recent …
structures, is fundamental to protein engineering and therapeutic development. While recent …
Antibody Design with Constrained Bayesian Optimization
In therapeutic antibody design, achieving a balance between optimizing binding affinity
subject to multiple constraints, and sequence diversity within a batch for experimental …
subject to multiple constraints, and sequence diversity within a batch for experimental …