Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design

26 October 2022

Papers citing "Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design"

7 / 7 papers shown

Title
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications Jiaqi Han Jiacheng Cen Liming Wu Zongzhao Li Xiangzhe Kong ... Zhewei Wei Deli Zhao Yu Rong Wenbing Huang Wenbing Huang AI4CE 32 20 0 01 Mar 2024
AI driven B-cell Immunotherapy Design B. M. D. Silva David B. Ascher Nicholas Geard Douglas E. V. Pires 11 0 0 03 Sep 2023
AbDiffuser: Full-Atom Generation of in vitro Functioning Antibodies Karolis Martinkus J. Ludwiczak Kyunghyun Cho Weishao Lian J. Lafrance-Vanasse ... A. Rajpal Y. Wu Richard Bonneau Vladimir Gligorijević Andreas Loukas DiffM 19 36 0 28 Jul 2023
OntoProtein: Protein Pretraining With Gene Ontology Embedding Ningyu Zhang Zhen Bi Xiaozhuan Liang Shuyang Cheng Haosen Hong Shumin Deng J. Lian Qiang Zhang Huajun Chen 91 86 0 23 Jan 2022
Benchmarking deep generative models for diverse antibody sequence design Igor Melnyk Payel Das Vijil Chenthamarakshan A. Lozano DiffM 32 17 0 12 Nov 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021
Unified Vision-Language Pre-Training for Image Captioning and VQA Luowei Zhou Hamid Palangi Lei Zhang Houdong Hu Jason J. Corso Jianfeng Gao MLLM VLM 250 922 0 24 Sep 2019