AUTODIFF: Autoregressive Diffusion Modeling for Structure-based Drug
Design

AUTODIFF: Autoregressive Diffusion Modeling for Structure-based Drug Design

2 April 2024

Wenhao Gao

Papers citing "AUTODIFF: Autoregressive Diffusion Modeling for Structure-based Drug Design"

8 / 8 papers shown

Title
Latent Diffusion for Language Generation Justin Lovelace Varsha Kishore Chao-gang Wan Eliot Shekhtman Kilian Q. Weinberger DiffM 36 76 0 19 Dec 2022
DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding Haitao Lin Yufei Huang Odin Zhang Siqi Ma Meng Liu X. Li Lirong Wu Shuiwang Ji Tingjun Hou Stan Z. Li DiffM 43 63 0 21 Nov 2022
EmoDiff: Intensity Controllable Emotional Text-to-Speech with Soft-Label Guidance Yiwei Guo Chenpeng Du Xie Chen K. Yu DiffM 72 40 0 17 Nov 2022
Torsional Diffusion for Molecular Conformer Generation Bowen Jing Gabriele Corso Jeffrey Chang Regina Barzilay Tommi Jaakkola DiffM BDL 58 266 0 01 Jun 2022
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets Xingang Peng Shitong Luo Jiaqi Guan Qi Xie Jian-wei Peng Jianzhu Ma 39 179 0 15 May 2022
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation Minkai Xu Lantao Yu Yang Song Chence Shi Stefano Ermon Jian Tang BDL DiffM 109 502 0 06 Mar 2022
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models Alex Nichol Prafulla Dhariwal Aditya A. Ramesh Pranav Shyam Pamela Mishkin Bob McGrew Ilya Sutskever Mark Chen 151 3,531 0 20 Dec 2021
Molecular Generation with Recurrent Neural Networks (RNNs) E. Bjerrum Richard Threlfall 32 111 0 12 May 2017

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