ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2108.07435
  4. Cited By
Modeling Protein Using Large-scale Pretrain Language Model
v1v2 (latest)

Modeling Protein Using Large-scale Pretrain Language Model

17 August 2021
Yijia Xiao
J. Qiu
Ziang Li
Chang-Yu Hsieh
Jie Tang
ArXiv (abs)PDFHTMLGithub (117★)

Papers citing "Modeling Protein Using Large-scale Pretrain Language Model"

19 / 19 papers shown
Title
Elucidating the Design Space of Multimodal Protein Language Models
Elucidating the Design Space of Multimodal Protein Language Models
Cheng-Yen Hsieh
Xinze Wang
Daiheng Zhang
Dongyu Xue
Fei Ye
Shujian Huang
Zaixiang Zheng
Quanquan Gu
337
4
0
15 Apr 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
368
15
0
21 Feb 2025
RNA-GPT: Multimodal Generative System for RNA Sequence Understanding
RNA-GPT: Multimodal Generative System for RNA Sequence Understanding
Yijia Xiao
Edward Sun
Yiqiao Jin
Wenjie Wang
LM&MA
120
3
0
29 Oct 2024
DPLM-2: A Multimodal Diffusion Protein Language Model
DPLM-2: A Multimodal Diffusion Protein Language ModelInternational Conference on Learning Representations (ICLR), 2024
Xinze Wang
Zaixiang Zheng
Fei Ye
Dongyu Xue
Shujian Huang
Quanquan Gu
158
47
0
17 Oct 2024
ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding
ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding
Yijia Xiao
Edward Sun
Yiqiao Jin
Qifan Wang
Wei Wang
204
25
0
21 Aug 2024
ProLLM: Protein Chain-of-Thoughts Enhanced LLM for Protein-Protein
  Interaction Prediction
ProLLM: Protein Chain-of-Thoughts Enhanced LLM for Protein-Protein Interaction Prediction
Haoyang Ling
Haochen Xue
Zhenting Wang
Boming Kang
Ruosong Ye
Kaixiong Zhou
Jundong Li
Yongfeng Zhang
LLMAG
258
23
0
30 Mar 2024
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-TuningAAAI Conference on Artificial Intelligence (AAAI), 2024
Peiyuan Liu
Hang Guo
Tao Dai
Naiqi Li
Jigang Bao
Xudong Ren
Yong Jiang
Shu-Tao Xia
AI4TS
334
74
0
12 Mar 2024
xTrimoGene: An Efficient and Scalable Representation Learner for
  Single-Cell RNA-Seq Data
xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq DatabioRxiv (bioRxiv), 2023
Jing Gong
Minsheng Hao
Xingyi Cheng
Xin Zeng
Chiming Liu
Jianzhu Ma
Xuegong Zhang
Taifeng Wang
Leo T. Song
223
35
0
26 Nov 2023
Better to Ask in English: Cross-Lingual Evaluation of Large Language
  Models for Healthcare Queries
Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries
Yiqiao Jin
Mohit Chandra
Gaurav Verma
Yibo Hu
Munmun De Choudhury
Srijan Kumar
LM&MAELM
365
109
0
19 Oct 2023
PGraphDTA: Improving Drug Target Interaction Prediction using Protein
  Language Models and Contact Maps
PGraphDTA: Improving Drug Target Interaction Prediction using Protein Language Models and Contact Maps
Rakesh Bal
Yijia Xiao
Wei Wang
123
5
0
06 Oct 2023
Otter-Knowledge: benchmarks of multimodal knowledge graph representation
  learning from different sources for drug discovery
Otter-Knowledge: benchmarks of multimodal knowledge graph representation learning from different sources for drug discovery
Hoang Thanh Lam
M. Sbodio
Marcos Martínez Galindo
Mykhaylo Zayats
Raúl Fernández-Díaz
Víctor Valls
Gabriele Picco
Cesar Berrospi Ramis
V. López
239
11
0
22 Jun 2023
Exploring the Protein Sequence Space with Global Generative Models
Exploring the Protein Sequence Space with Global Generative ModelsCold Spring Harbor Perspectives in Biology (Cold Spring Harb Perspect Biol), 2023
S. Romero-Romero
Sebastian Lindner
Noelia Ferruz
169
5
0
03 May 2023
BloombergGPT: A Large Language Model for Finance
BloombergGPT: A Large Language Model for Finance
Shijie Wu
Ozan Irsoy
Steven Lu
Vadim Dabravolski
Mark Dredze
Sebastian Gehrmann
P. Kambadur
David S. Rosenberg
Gideon Mann
AIFin
534
1,082
0
30 Mar 2023
Structure-informed Language Models Are Protein Designers
Structure-informed Language Models Are Protein DesignersbioRxiv (bioRxiv), 2023
Zaixiang Zheng
Yifan Deng
Dongyu Xue
Yi Zhou
YE Fei
Quanquan Gu
299
118
0
03 Feb 2023
A Survey on Protein Representation Learning: Retrospect and Prospect
A Survey on Protein Representation Learning: Retrospect and Prospect
Lirong Wu
Yu-Feng Huang
H. Lin
Stan Z. Li
AI4TS
161
14
0
31 Dec 2022
HelixFold-Single: MSA-free Protein Structure Prediction by Using Protein
  Language Model as an Alternative
HelixFold-Single: MSA-free Protein Structure Prediction by Using Protein Language Model as an AlternativeNature Machine Intelligence (Nat. Mach. Intell.), 2022
Xiaomin Fang
Fan Wang
Lihang Liu
Jingzhou He
Dayong Lin
Yingfei Xiang
Xiaonan Zhang
Hua Wu
Hui Li
Le Song
137
66
0
28 Jul 2022
OntoProtein: Protein Pretraining With Gene Ontology Embedding
OntoProtein: Protein Pretraining With Gene Ontology EmbeddingInternational Conference on Learning Representations (ICLR), 2022
Ningyu Zhang
Zhen Bi
Xiaozhuan Liang
Shuyang Cheng
Haosen Hong
Shumin Deng
J. Lian
Qiang Zhang
Huajun Chen
388
117
0
23 Jan 2022
Pre-training Co-evolutionary Protein Representation via A Pairwise
  Masked Language Model
Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model
Liang He
Shizhuo Zhang
Lijun Wu
Huanhuan Xia
Fusong Ju
...
Jianwei Zhu
Pan Deng
Jia Zhang
Tao Qin
Tie-Yan Liu
187
35
0
29 Oct 2021
Pre-trained Language Models in Biomedical Domain: A Systematic Survey
Pre-trained Language Models in Biomedical Domain: A Systematic SurveyACM Computing Surveys (CSUR), 2021
Benyou Wang
Qianqian Xie
Jiahuan Pei
Zhihong Chen
Prayag Tiwari
Zhao Li
Jie Fu
LM&MAAI4CE
358
200
0
11 Oct 2021
1