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Diffusion probabilistic modeling of protein backbones in 3D for the
  motif-scaffolding problem

Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem

8 June 2022
Brian L. Trippe
Jason Yim
D. Tischer
D. Baker
Tamara Broderick
Regina Barzilay
Tommi Jaakkola
    DiffM
ArXivPDFHTML

Papers citing "Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem"

37 / 37 papers shown
Title
ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model
ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model
Sagnik Bhattacharya
Abhiram Gorle
Ahmed Mohsin
Ahsan Bilal
Connor Ding
Amit Kumar Singh Yadav
Tsachy Weissman
DiffM
43
0
0
08 May 2025
IgCraft: A versatile sequence generation framework for antibody discovery and engineering
IgCraft: A versatile sequence generation framework for antibody discovery and engineering
Matthew Greenig
Haowen Zhao
Vladimir Radenkovic
Aubin Ramon
Pietro Sormanni
44
0
0
25 Mar 2025
MotifBench: A standardized protein design benchmark for motif-scaffolding problems
MotifBench: A standardized protein design benchmark for motif-scaffolding problems
Zhuoqi Zheng
Bo Zhang
Kieran Didi
Kevin K. Yang
Jason Yim
Joseph L. Watson
Hai-Feng Chen
Brian L. Trippe
43
1
0
20 Feb 2025
Conditional sampling within generative diffusion models
Conditional sampling within generative diffusion models
Zheng Zhao
Ziwei Luo
Jens Sjölund
Thomas B. Schon
DiffM
VLM
73
3
0
20 Feb 2025
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models
VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models
Chaohao Xie
Kai Han
Kwan-Yee K. Wong
VGen
DiffM
129
0
0
21 Jan 2025
A General Framework for Inference-time Scaling and Steering of Diffusion Models
A General Framework for Inference-time Scaling and Steering of Diffusion Models
R. Singhal
Zachary Horvitz
Ryan Teehan
Mengye Ren
Zhou Yu
Kathleen McKeown
Rajesh Ranganath
DiffM
61
15
0
17 Jan 2025
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design
Chenyu Wang
Masatoshi Uehara
Yichun He
Amy Wang
Tommaso Biancalani
Avantika Lal
Tommi Jaakkola
Sergey Levine
Hanchen Wang
Aviv Regev
48
8
0
17 Oct 2024
Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs
Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs
Severi Rissanen
Markus Heinonen
Arno Solin
DiffM
78
0
0
15 Oct 2024
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis
Zikun Zhang
Zixiang Chen
Quanquan Gu
DiffM
47
3
0
03 Oct 2024
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems
Jiawei Zhang
Jiaxin Zhuang
Cheng Jin
Gen Li
Yuantao Gu
DiffM
68
1
0
11 Jun 2024
Solving Inverse Problems in Protein Space Using Diffusion-Based Priors
Solving Inverse Problems in Protein Space Using Diffusion-Based Priors
A. Levy
E. R. Chan
Sara Fridovich-Keil
Frédéric Poitevin
Ellen D. Zhong
Gordon Wetzstein
DiffM
66
3
0
06 Jun 2024
Conditioning diffusion models by explicit forward-backward bridging
Conditioning diffusion models by explicit forward-backward bridging
Adrien Corenflos
Zheng Zhao
Simo Särkkä
Jens Sjölund
Thomas B. Schon
DiffM
48
5
0
22 May 2024
Divide-and-Conquer Posterior Sampling for Denoising Diffusion Priors
Divide-and-Conquer Posterior Sampling for Denoising Diffusion Priors
Yazid Janati
Alain Durmus
Eric Moulines
Jimmy Olsson
DiffM
38
7
0
18 Mar 2024
Towards Joint Sequence-Structure Generation of Nucleic Acid and Protein
  Complexes with SE(3)-Discrete Diffusion
Towards Joint Sequence-Structure Generation of Nucleic Acid and Protein Complexes with SE(3)-Discrete Diffusion
Alex Morehead
Jeffrey A. Ruffolo
Aadyot Bhatnagar
Ali Madani
DiffM
22
9
0
21 Dec 2023
A framework for conditional diffusion modelling with applications in
  motif scaffolding for protein design
A framework for conditional diffusion modelling with applications in motif scaffolding for protein design
Kieran Didi
Francisco Vargas
Simon V. Mathis
Vincent Dutordoir
Emile Mathieu
U. J. Komorowska
Pietro Lió
DiffM
30
13
0
14 Dec 2023
PDB-Struct: A Comprehensive Benchmark for Structure-based Protein Design
PDB-Struct: A Comprehensive Benchmark for Structure-based Protein Design
Chuanrui Wang
Bozitao Zhong
Zuobai Zhang
Narendra Chaudhary
Sanchit Misra
Jian Tang
25
5
0
30 Nov 2023
Image Inpainting via Tractable Steering of Diffusion Models
Image Inpainting via Tractable Steering of Diffusion Models
Anji Liu
Mathias Niepert
Guy Van den Broeck
DiffM
TPM
19
16
0
28 Nov 2023
Denoising Heat-inspired Diffusion with Insulators for Collision Free
  Motion Planning
Denoising Heat-inspired Diffusion with Insulators for Collision Free Motion Planning
Junwoo Chang
Hyunwoo Ryu
Jiwoo Kim
Soochul Yoo
Jongeun Choi
Joohwan Seo
N. Prakash
R. Horowitz
DiffM
AI4CE
18
6
0
19 Oct 2023
DiAMoNDBack: Diffusion-denoising Autoregressive Model for
  Non-Deterministic Backmapping of Cα Protein Traces
DiAMoNDBack: Diffusion-denoising Autoregressive Model for Non-Deterministic Backmapping of Cα Protein Traces
Michael S. Jones
Kirill Shmilovich
Andrew L. Ferguson
DiffM
27
12
0
23 Jul 2023
Cross-Gate MLP with Protein Complex Invariant Embedding is A One-Shot
  Antibody Designer
Cross-Gate MLP with Protein Complex Invariant Embedding is A One-Shot Antibody Designer
Cheng Tan
Zhangyang Gao
Lirong Wu
Jun-Xiong Xia
Jiangbin Zheng
Xihong Yang
Yue Liu
Bozhen Hu
Stan Z. Li
22
14
0
21 Apr 2023
Semi-Equivariant Conditional Normalizing Flows
Semi-Equivariant Conditional Normalizing Flows
Eyal Rozenberg
Daniel Freedman
19
0
0
13 Apr 2023
CamDiff: Camouflage Image Augmentation via Diffusion Model
CamDiff: Camouflage Image Augmentation via Diffusion Model
Xuejiao Luo
Shuo Wang
Zongwei Wu
Christos Sakaridis
Yun Cheng
Deng-Ping Fan
Luc Van Gool
DiffM
30
19
0
11 Apr 2023
DDP: Diffusion Model for Dense Visual Prediction
DDP: Diffusion Model for Dense Visual Prediction
Yuanfeng Ji
Zhe Chen
Enze Xie
Lanqing Hong
Xihui Liu
Zhaoqiang Liu
Tong Lu
Zhenguo Li
Ping Luo
DiffM
VLM
31
129
0
30 Mar 2023
DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion
DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion
Sauradip Nag
Xiatian Zhu
Jiankang Deng
Yi-Zhe Song
Tao Xiang
DiffM
VGen
25
21
0
27 Mar 2023
Data-Efficient Protein 3D Geometric Pretraining via Refinement of
  Diffused Protein Structure Decoy
Data-Efficient Protein 3D Geometric Pretraining via Refinement of Diffused Protein Structure Decoy
Yufei Huang
Lirong Wu
Haitao Lin
Jiangbin Zheng
Ge Wang
Stan Z. Li
DiffM
16
14
0
05 Feb 2023
Generating Novel, Designable, and Diverse Protein Structures by
  Equivariantly Diffusing Oriented Residue Clouds
Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds
Yeqing Lin
Mohammed AlQuraishi
DiffM
AI4CE
12
73
0
29 Jan 2023
DiffRF: Rendering-Guided 3D Radiance Field Diffusion
DiffRF: Rendering-Guided 3D Radiance Field Diffusion
Norman Muller
Yawar Siddiqui
Lorenzo Porzi
Samuel Rota Buló
Peter Kontschieder
Matthias Nießner
27
185
0
02 Dec 2022
DiffusionDet: Diffusion Model for Object Detection
DiffusionDet: Diffusion Model for Object Detection
Shoufa Chen
Pei Sun
Yibing Song
Ping Luo
37
442
0
17 Nov 2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey
Diffusion Models for Medical Image Analysis: A Comprehensive Survey
A. Kazerouni
Ehsan Khodapanah Aghdam
Moein Heidari
Reza Azad
Mohsen Fayyaz
I. Hacihaliloglu
Dorit Merhof
DiffM
MedIm
35
354
0
14 Nov 2022
Semi-Equivariant Continuous Normalizing Flows for Target-Aware Molecule
  Generation
Semi-Equivariant Continuous Normalizing Flows for Target-Aware Molecule Generation
Eyal Rozenberg
Daniel Freedman
11
0
0
09 Nov 2022
Structure-based Drug Design with Equivariant Diffusion Models
Structure-based Drug Design with Equivariant Diffusion Models
Arne Schneuing
Yuanqi Du
Charles Harris
Arian R. Jamasb
Ilia Igashov
...
Pietro Lió
Carla P. Gomes
Max Welling
Michael M. Bronstein
B. Correia
DiffM
24
193
0
24 Oct 2022
Protein Sequence and Structure Co-Design with Equivariant Translation
Protein Sequence and Structure Co-Design with Equivariant Translation
Chence Shi
Chuanrui Wang
Jiarui Lu
Bozitao Zhong
Jian Tang
DiffM
12
47
0
17 Oct 2022
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Gabriele Corso
Hannes Stärk
Bowen Jing
Regina Barzilay
Tommi Jaakkola
DiffM
130
403
0
04 Oct 2022
Protein structure generation via folding diffusion
Protein structure generation via folding diffusion
Kevin E. Wu
Kevin Kaichuang Yang
Rianne van den Berg
James Y. Zou
Alex X. Lu
Ava P. Amini
DiffM
25
191
0
30 Sep 2022
Protein Structure and Sequence Generation with Equivariant Denoising
  Diffusion Probabilistic Models
Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models
N. Anand
Tudor Achim
DiffM
183
172
0
26 May 2022
Palette: Image-to-Image Diffusion Models
Palette: Image-to-Image Diffusion Models
Chitwan Saharia
William Chan
Huiwen Chang
Chris A. Lee
Jonathan Ho
Tim Salimans
David J. Fleet
Mohammad Norouzi
DiffM
VLM
325
1,584
0
10 Nov 2021
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate
  Interatomic Potentials
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials
Simon L. Batzner
Albert Musaelian
Lixin Sun
Mario Geiger
J. Mailoa
M. Kornbluth
N. Molinari
Tess E. Smidt
Boris Kozinsky
190
1,229
0
08 Jan 2021
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