Generative Capacity of Probabilistic Protein Sequence Models

3 December 2020

Papers citing "Generative Capacity of Probabilistic Protein Sequence Models"

7 / 7 papers shown

Title
Protein Large Language Models: A Comprehensive Survey Yijia Xiao Wanjia Zhao Junkai Zhang Yiqiao Jin Han Zhang ... Xiao Luo Yu-Jie Zhang James Y. Zou Y. Sun Wei Wang LM&MA AI4CE 54 3 0 21 Feb 2025
Computational design of target-specific linear peptide binders with TransformerBeta Haowen Zhao Francesco A. Aprile Barbara Bravi 29 0 0 07 Oct 2024
Exploring the Protein Sequence Space with Global Generative Models S. Romero-Romero Sebastian Lindner Noelia Ferruz 27 5 0 03 May 2023
Diffusing Gaussian Mixtures for Generating Categorical Data Florence Regol Mark J. Coates DiffM 28 5 0 08 Mar 2023
Generative power of a protein language model trained on multiple sequence alignments Damiano Sgarbossa Umberto Lupo Anne-Florence Bitbol 19 32 0 14 Apr 2022
Protein language models trained on multiple sequence alignments learn phylogenetic relationships Umberto Lupo Damiano Sgarbossa Anne-Florence Bitbol 27 34 0 29 Mar 2022
Variational Autoencoders with Riemannian Brownian Motion Priors Dimitris Kalatzis David Eklund Georgios Arvanitidis Søren Hauberg BDL DRL 60 48 0 12 Feb 2020