Generative AI for Controllable Protein Sequence Design: A Survey

Generative AI for Controllable Protein Sequence Design: A Survey

16 February 2024

Papers citing "Generative AI for Controllable Protein Sequence Design: A Survey"

15 / 15 papers shown

Title
InstructProtein: Aligning Human and Protein Language via Knowledge Instruction Zeyuan Wang Qiang Zhang Keyan Ding Ming Qin Zhuang Xiang Xiaotong Li Huajun Chen 73 31 0 05 Oct 2023
A Text-guided Protein Design Framework Shengchao Liu Yanjing Li Zhuoxinran Li A. Gitter Yutao Zhu ... Arvind Ramanathan Chaowei Xiao Jian Tang Hongyu Guo Anima Anandkumar 103 64 0 09 Feb 2023
Structure-informed Language Models Are Protein Designers Zaixiang Zheng Yifan Deng Dongyu Xue Yi Zhou YE Fei Quanquan Gu 86 95 0 03 Feb 2023
ProGen2: Exploring the Boundaries of Protein Language Models Erik Nijkamp Jeffrey A. Ruffolo Eli N. Weinstein Nikhil Naik Ali Madani AI4TS 64 303 0 27 Jun 2022
RITA: a Study on Scaling Up Generative Protein Sequence Models Daniel Hesslow Niccoló Zanichelli Pascal Notin Iacopo Poli D. Marks 45 97 0 11 May 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 277 30,109 0 01 Mar 2022
Structured Denoising Diffusion Models in Discrete State-Spaces Jacob Austin Daniel D. Johnson Jonathan Ho Daniel Tarlow Rianne van den Berg DiffM 167 941 0 07 Jul 2021
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation Emmanuel Bengio Moksh Jain Maksym Korablyov Doina Precup Yoshua Bengio 101 328 0 08 Jun 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 224 7,857 0 11 May 2021
Protein sequence design with deep generative models Zachary Wu Kadina E. Johnston F. Arnold Kevin Kaichuang Yang 64 140 0 09 Apr 2021
Learning from Protein Structure with Geometric Vector Perceptrons Bowen Jing Stephan Eismann Patricia Suriana Raphael J. L. Townshend R. Dror GNN 3DV 67 484 0 03 Sep 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 602 4,822 0 23 Jan 2020
Automatic chemical design using a data-driven continuous representation of molecules Rafael Gómez-Bombarelli Jennifer N. Wei David Duvenaud José Miguel Hernández-Lobato Benjamín Sánchez-Lengeling Dennis Sheberla J. Aguilera-Iparraguirre Timothy D. Hirzel Ryan P. Adams Alán Aspuru-Guzik 3DV 161 2,932 0 07 Oct 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 301 6,949 0 12 Mar 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 452 16,929 0 20 Dec 2013

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