Adaptive machine learning for protein engineering

10 June 2021

Papers citing "Adaptive machine learning for protein engineering"

12 / 12 papers shown

Title
Empowering Biomedical Discovery with AI Agents Shanghua Gao Ada Fang Yepeng Huang Valentina Giunchiglia Ayush Noori Jonathan Richard Schwarz Yasha Ektefaie Jovana Kondic Marinka Zitnik LLMAG AI4CE 44 66 0 03 Apr 2024
Towards Joint Sequence-Structure Generation of Nucleic Acid and Protein Complexes with SE(3)-Discrete Diffusion Alex Morehead Jeffrey A. Ruffolo Aadyot Bhatnagar Ali Madani DiffM 24 9 0 21 Dec 2023
Generative artificial intelligence for de novo protein design Adam Winnifrith C. Outeiral Brian L. Hie AI4CE 26 23 0 15 Oct 2023
Insights Into the Inner Workings of Transformer Models for Protein Function Prediction M. Wenzel Erik Grüner Nils Strodthoff ViT 27 7 0 07 Sep 2023
Robust Model-Based Optimization for Challenging Fitness Landscapes Saba Ghaffari Ehsan Saleh A. Schwing Yu-xiong Wang Martin D. Burke Saurabh Sinha 27 1 0 23 May 2023
Protein Sequence Design with Batch Bayesian Optimisation Chuanjiao Zong 16 0 0 18 Mar 2023
Linear-scaling kernels for protein sequences and small molecules outperform deep learning while providing uncertainty quantitation and improved interpretability J. Parkinson Wen Wang BDL 24 8 0 07 Feb 2023
Latent Space Bayesian Optimization with Latent Data Augmentation for Enhanced Exploration O. Boyar Ichiro Takeuchi BDL 18 3 0 05 Feb 2023
A generative recommender system with GMM prior for cancer drug generation and sensitivity prediction Krzysztof Koras Marcin Mo.zejko Paula Szymczak E. Staub E. Szczurek 20 0 0 07 Jun 2022
Deep Extrapolation for Attribute-Enhanced Generation Alvin Chan Ali Madani Ben Krause Nikhil Naik 24 24 0 07 Jul 2021
Design by adaptive sampling David H. Brookes Jennifer Listgarten TPM 39 65 0 08 Oct 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016