ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.10516
  4. Cited By
Generative AI for Controllable Protein Sequence Design: A Survey

Generative AI for Controllable Protein Sequence Design: A Survey

16 February 2024
Yiheng Zhu
Zitai Kong
Jialun Wu
Weize Liu
Yuqiang Han
Mingze Yin
Hongxia Xu
Chang-Yu Hsieh
Tingjun Hou
    AI4CE
ArXivPDFHTML

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

3 / 3 papers shown
Title
PiFold: Toward effective and efficient protein inverse folding
PiFold: Toward effective and efficient protein inverse folding
Zhangyang Gao
Cheng Tan
Pablo Chacón
Stan Z. Li
AI4CE
59
104
0
22 Sep 2022
Diffusion-LM Improves Controllable Text Generation
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li
John Thickstun
Ishaan Gulrajani
Percy Liang
Tatsunori B. Hashimoto
AI4CE
163
768
0
27 May 2022
Scaling Laws for Neural Language Models
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
220
3,054
0
23 Jan 2020
1