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ProtST: Multi-Modality Learning of Protein Sequences and Biomedical
  Texts
v1v2 (latest)

ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts

28 January 2023
Minghao Xu
Xinyu Yuan
Santiago Miret
Jian Tang
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts"

50 / 51 papers shown
Title
AnnoDPO: Protein Functional Annotation Learning with Direct Preference Optimization
AnnoDPO: Protein Functional Annotation Learning with Direct Preference Optimization
Zixuan Jiang
Renjing Xu
20
0
0
08 Jun 2025
Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training
Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training
Minghao Xu
Jiaze Song
Keming Wu
Xiangxin Zhou
Bin Cui
Wentao Zhang
67
0
0
02 Jun 2025
PFMBench: Protein Foundation Model Benchmark
PFMBench: Protein Foundation Model Benchmark
Zhangyang Gao
Hao Wang
Cheng Tan
Chenrui Xu
Mengdi Liu
Bozhen Hu
Linlin Chao
Xiaoming Zhang
Stan Z. Li
12
0
0
01 Jun 2025
Rethinking Text-based Protein Understanding: Retrieval or LLM?
Rethinking Text-based Protein Understanding: Retrieval or LLM?
Juntong Wu
Zijing Liu
He Cao
Hao Li
Bin Feng
Zishan Shu
Ke Yu
Li Yuan
Yu-Feng Li
83
1
0
26 May 2025
Object-level Cross-view Geo-localization with Location Enhancement and Multi-Head Cross Attention
Zheyang Huang
Jagannath Aryal
S. Nahavandi
Xuequan Lu
C. Lim
Lei Wei
Hailing Zhou
ObjD
66
0
0
23 May 2025
Interpretable Multimodal Learning for Tumor Protein-Metal Binding: Progress, Challenges, and Perspectives
Interpretable Multimodal Learning for Tumor Protein-Metal Binding: Progress, Challenges, and Perspectives
Xiaokun Liu
Sayedmohammadreza Rastegari
Yijun Huang
Sxe Chang Cheong
Weikang Liu
...
Sina Tabakhi
Xianyuan Liu
Zheqing Zhu
Wei Sang
Haiping Lu
84
1
0
04 Apr 2025
A Generalist Cross-Domain Molecular Learning Framework for Structure-Based Drug Discovery
Yiheng Zhu
Mingyang Li
Junlong Liu
Kun Fu
Jian Wu
Yue Liu
Mingze Yin
Jieping Ye
Jian Wu
Zehua Wang
143
0
0
06 Mar 2025
Protein Large Language Models: A Comprehensive Survey
Protein Large Language Models: A Comprehensive Survey
Yijia Xiao
Wanjia Zhao
Junkai Zhang
Yiqiao Jin
Han Zhang
...
Xiao Luo
Yu Zhang
James Zou
Yizhou Sun
Wei Wang
LM&MAAI4CE
133
4
0
21 Feb 2025
Can linguists better understand DNA?
Can linguists better understand DNA?
Wang Liang
148
1
0
20 Jan 2025
Towards Scientific Discovery with Generative AI: Progress,
  Opportunities, and Challenges
Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges
Chandan K. Reddy
Parshin Shojaee
150
11
0
16 Dec 2024
SeqProFT: Applying LoRA Finetuning for Sequence-only Protein Property Predictions
Shuo Zhang
Jian K. Liu
120
1
0
18 Nov 2024
MutaPLM: Protein Language Modeling for Mutation Explanation and
  Engineering
MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering
Yizhen Luo
Zikun Nie
Massimo Hong
Suyuan Zhao
Hao Zhou
Zaiqing Nie
149
1
0
30 Oct 2024
MatExpert: Decomposing Materials Discovery by Mimicking Human Experts
MatExpert: Decomposing Materials Discovery by Mimicking Human Experts
Qianggang Ding
Santiago Miret
Bang Liu
MoE
69
8
0
26 Oct 2024
Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding with LLMs
Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding with LLMs
Wei Wu
Chao Wang
L. Chen
Mingze Yin
Yiheng Zhu
Kun Fu
Jieping Ye
Hui Xiong
Zheng Wang
143
1
0
04 Oct 2024
Recent advances in interpretable machine learning using structure-based
  protein representations
Recent advances in interpretable machine learning using structure-based protein representations
L. Vecchietti
Minji Lee
Begench Hangeldiyev
Hyunkyu Jung
Hahnbeom Park
Tae-Kyun Kim
Meeyoung Cha
Ho Min Kim
AI4CE
125
1
0
26 Sep 2024
GP-GPT: Large Language Model for Gene-Phenotype Mapping
GP-GPT: Large Language Model for Gene-Phenotype Mapping
Yanjun Lyu
Zihao Wu
Lu Zhang
Jing Zhang
Yiwei Li
...
Rongjie Liu
Chao Huang
Wentao Li
Tianming Liu
Dajiang Zhu
LM&MA
52
4
0
15 Sep 2024
TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text
  and Protein Sequences for Protein Engineering
TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein Engineering
Yiqing Shen
Zan Chen
Michail Mamalakis
Yungeng Liu
Tianbin Li
Yanzhou Su
Junjun He
Pietro Liò
Yu Guang Wang
LLMAG
86
9
0
27 Aug 2024
GOProteinGNN: Leveraging Protein Knowledge Graphs for Protein Representation Learning
GOProteinGNN: Leveraging Protein Knowledge Graphs for Protein Representation Learning
Dan Kalifa
Uriel Singer
Kira Radinsky
146
1
0
31 Jul 2024
Multi-Modal CLIP-Informed Protein Editing
Multi-Modal CLIP-Informed Protein Editing
Mingze Yin
Hanjing Zhou
Yiheng Zhu
Miao Lin
YiXuan Wu
...
Hongxia Xu
Chang-Yu Hsieh
Tingjun Hou
Jintai Chen
Jian Wu
93
7
0
27 Jul 2024
MatText: Do Language Models Need More than Text & Scale for Materials
  Modeling?
MatText: Do Language Models Need More than Text & Scale for Materials Modeling?
Nawaf Alampara
Santiago Miret
Kevin Maik Jablonka
92
10
0
25 Jun 2024
Geometric Self-Supervised Pretraining on 3D Protein Structures using
  Subgraphs
Geometric Self-Supervised Pretraining on 3D Protein Structures using Subgraphs
Michail Chatzianastasis
George Dasoulas
Michalis Vazirgiannis
SSL
72
0
0
20 Jun 2024
A Comprehensive Survey of Scientific Large Language Models and Their
  Applications in Scientific Discovery
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery
Yu Zhang
Xiusi Chen
Bowen Jin
Sheng Wang
Shuiwang Ji
Wei Wang
Jiawei Han
140
42
0
16 Jun 2024
Learning Multi-view Molecular Representations with Structured and
  Unstructured Knowledge
Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge
Yizhen Luo
Kai Yang
Massimo Hong
Xing Yi Liu
Zikun Nie
Hao Zhou
Zaiqing Nie
68
4
0
14 Jun 2024
Gentle-CLIP: Exploring Aligned Semantic In Low-Quality Multimodal Data
  With Soft Alignment
Gentle-CLIP: Exploring Aligned Semantic In Low-Quality Multimodal Data With Soft Alignment
Zijia Song
Z. Zang
Yelin Wang
Guozheng Yang
Jiangbin Zheng
Kaicheng Yu
Wanyu Chen
Stan Z. Li
75
1
0
09 Jun 2024
A Fine-tuning Dataset and Benchmark for Large Language Models for
  Protein Understanding
A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding
Yiqing Shen
Zan Chen
Michail Mamalakis
Luhan He
Haiyang Xia
Tianbin Li
Yanzhou Su
Junjun He
Yu Guang Wang
AI4MH
150
10
0
08 Jun 2024
FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for
  Drug-Target Interaction
FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for Drug-Target Interaction
Zhaohan Meng
Zaiqiao Meng
I. Ounis
89
4
0
03 Jun 2024
SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems
SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems
Patrick Emami
Zhaonan Li
Saumya Sinha
Truc Nguyen
155
1
0
30 May 2024
Boosting Protein Language Models with Negative Sample Mining
Boosting Protein Language Models with Negative Sample Mining
Yaoyao Xu
Xinjian Zhao
Xiaozhuang Song
Benyou Wang
Tianshu Yu
79
0
0
28 May 2024
ProtT3: Protein-to-Text Generation for Text-based Protein Understanding
ProtT3: Protein-to-Text Generation for Text-based Protein Understanding
Zhiyuan Liu
An Zhang
Hao Fei
Enzhi Zhang
Xiang Wang
Kenji Kawaguchi
Tat-Seng Chua
111
19
0
21 May 2024
LangCell: Language-Cell Pre-training for Cell Identity Understanding
LangCell: Language-Cell Pre-training for Cell Identity Understanding
Suyuan Zhao
Jiahuan Zhang
Yushuai Wu
Yizhen Luo
Zaiqing Nie
VLM
142
8
0
09 May 2024
Protein Representation Learning by Capturing Protein
  Sequence-Structure-Function Relationship
Protein Representation Learning by Capturing Protein Sequence-Structure-Function Relationship
Eunji Ko
Seul Lee
Minseon Kim
Dongki Kim
56
0
0
29 Apr 2024
Functional Protein Design with Local Domain Alignment
Functional Protein Design with Local Domain Alignment
Chaohao Yuan
Songyou Li
Geyan Ye
Yikun Zhang
Long-Kai Huang
Wenbing Huang
Wei Liu
Jianhua Yao
Yu Rong
91
1
0
18 Apr 2024
AI for Biomedicine in the Era of Large Language Models
AI for Biomedicine in the Era of Large Language Models
Zhenyu Bi
Sajib Acharjee Dip
Daniel Hajialigol
Sindhura Kommu
Hanwen Liu
Meng Lu
Xuan Wang
LM&MAAI4CE
73
8
0
23 Mar 2024
Bridging Text and Molecule: A Survey on Multimodal Frameworks for
  Molecule
Bridging Text and Molecule: A Survey on Multimodal Frameworks for Molecule
Yi Xiao
Xiangxin Zhou
Qiang Liu
Liang Wang
AI4CE
64
3
0
07 Mar 2024
Leveraging Biomolecule and Natural Language through Multi-Modal
  Learning: A Survey
Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey
Qizhi Pei
Lijun Wu
Kaiyuan Gao
Jinhua Zhu
Yue Wang
Zun Wang
Tao Qin
Rui Yan
AI4CE
127
18
0
03 Mar 2024
PQA: Zero-shot Protein Question Answering for Free-form Scientific
  Enquiry with Large Language Models
PQA: Zero-shot Protein Question Answering for Free-form Scientific Enquiry with Large Language Models
Eli M. Carrami
Sahand Sharifzadeh
63
2
0
21 Feb 2024
ChemReasoner: Heuristic Search over a Large Language Model's Knowledge
  Space using Quantum-Chemical Feedback
ChemReasoner: Heuristic Search over a Large Language Model's Knowledge Space using Quantum-Chemical Feedback
Henry W Sprueill
Carl Edwards
Khushbu Agarwal
Mariefel V. Olarte
Udishnu Sanyal
Conrad Johnston
Hongbin Liu
Heng Ji
Sutanay Choudhury
LRM
114
9
0
15 Feb 2024
ProtChatGPT: Towards Understanding Proteins with Large Language Models
ProtChatGPT: Towards Understanding Proteins with Large Language Models
Chao Wang
Hehe Fan
Ruijie Quan
Yi Yang
108
16
0
15 Feb 2024
Are LLMs Ready for Real-World Materials Discovery?
Are LLMs Ready for Real-World Materials Discovery?
Santiago Miret
N. M. A. Krishnan
101
34
0
07 Feb 2024
Progress and Opportunities of Foundation Models in Bioinformatics
Progress and Opportunities of Foundation Models in Bioinformatics
Qing Li
Zhihang Hu
Yixuan Wang
Lei Li
Yimin Fan
Irwin King
Le Song
Yu Li
AI4CE
85
18
0
06 Feb 2024
Future Directions in the Theory of Graph Machine Learning
Future Directions in the Theory of Graph Machine Learning
Christopher Morris
Fabrizio Frasca
Nadav Dym
Haggai Maron
.Ismail .Ilkan Ceylan
Ron Levie
Derek Lim
Michael M. Bronstein
Martin Grohe
Stefanie Jegelka
AI4CE
141
7
0
03 Feb 2024
Monte Carlo Thought Search: Large Language Model Querying for Complex
  Scientific Reasoning in Catalyst Design
Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design
Henry W Sprueill
Carl Edwards
Mariefel V. Olarte
Udishnu Sanyal
Heng Ji
Sutanay Choudhury
LRM
117
11
0
22 Oct 2023
BioT5: Enriching Cross-modal Integration in Biology with Chemical
  Knowledge and Natural Language Associations
BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations
Qizhi Pei
Wei Zhang
Jinhua Zhu
Kehan Wu
Kaiyuan Gao
Lijun Wu
Yingce Xia
Rui Yan
116
73
0
11 Oct 2023
BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs
BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs
Zifeng Wang
Zichen Wang
Balasubramaniam Srinivasan
V. Ioannidis
Huzefa Rangwala
Rishita Anubhai
AI4CE
80
18
0
05 Oct 2023
InstructProtein: Aligning Human and Protein Language via Knowledge
  Instruction
InstructProtein: Aligning Human and Protein Language via Knowledge Instruction
Zeyuan Wang
Qiang Zhang
Keyan Ding
Ming Qin
Zhuang Xiang
Xiaotong Li
Huajun Chen
104
32
0
05 Oct 2023
GeRA: Label-Efficient Geometrically Regularized Alignment
GeRA: Label-Efficient Geometrically Regularized Alignment
Dustin Klebe
Tal Shnitzer
Mikhail Yurochkin
Leonid Karlinsky
Justin Solomon
81
2
0
01 Oct 2023
Knowledge Graphs for the Life Sciences: Recent Developments, Challenges
  and Opportunities
Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities
Jiaoyan Chen
Hang Dong
Janna Hastings
Ernesto Jiménez-Ruiz
Vanessa Lopez
Pierre Monnin
Catia Pesquita
Petr vSkoda
Valentina A. M. Tamma
90
12
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29 Sep 2023
Prot2Text: Multimodal Protein's Function Generation with GNNs and
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Hadi Abdine
Michail Chatzianastasis
Costas Bouyioukos
Michalis Vazirgiannis
71
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A Systematic Survey in Geometric Deep Learning for Structure-based Drug
  Design
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Zaixin Zhang
Jiaxian Yan
Qi Liu
Enhong Chen
Marinka Zitnik
131
1
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20 Jun 2023
SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction
  and Drug Design
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Carl Edwards
Aakanksha Naik
Tushar Khot
Martin D. Burke
Heng Ji
Tom Hope
124
16
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