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ProtAgents: Protein discovery via large language model multi-agent
  collaborations combining physics and machine learning

ProtAgents: Protein discovery via large language model multi-agent collaborations combining physics and machine learning

27 January 2024
Alireza Ghafarollahi
Markus J. Buehler
    LLMAG
    AI4CE
ArXivPDFHTML

Papers citing "ProtAgents: Protein discovery via large language model multi-agent collaborations combining physics and machine learning"

22 / 22 papers shown
Title
WorldView-Bench: A Benchmark for Evaluating Global Cultural Perspectives in Large Language Models
WorldView-Bench: A Benchmark for Evaluating Global Cultural Perspectives in Large Language Models
Abdullah Mushtaq
Imran Taj
Rafay Naeem
Ibrahim Ghaznavi
Junaid Qadir
26
0
0
14 May 2025
An LLM-enabled Multi-Agent Autonomous Mechatronics Design Framework
An LLM-enabled Multi-Agent Autonomous Mechatronics Design Framework
Zeyu Wang
Frank P.-W. Lo
Qian Chen
Yongqi Zhang
Chen Lin
Xu Chen
Zhenhua Yu
Alexander J. Thompson
Eric M. Yeatman
Benny Lo
AI4CE
26
0
0
20 Apr 2025
PriM: Principle-Inspired Material Discovery through Multi-Agent Collaboration
PriM: Principle-Inspired Material Discovery through Multi-Agent Collaboration
Zheyuan Lai
Yingming Pu
45
0
0
09 Apr 2025
AgentRxiv: Towards Collaborative Autonomous Research
AgentRxiv: Towards Collaborative Autonomous Research
Samuel Schmidgall
Michael Moor
68
3
0
23 Mar 2025
MedAgent-Pro: Towards Multi-modal Evidence-based Medical Diagnosis via Reasoning Agentic Workflow
MedAgent-Pro: Towards Multi-modal Evidence-based Medical Diagnosis via Reasoning Agentic Workflow
Ziyue Wang
Junde Wu
Chang Han Low
Yueming Jin
LRM
57
2
0
21 Mar 2025
Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions
Mourad Gridach
Jay Nanavati
Khaldoun Zine El Abidine
Lenon Mendes
Christina Mack
52
6
0
12 Mar 2025
Towards an automated workflow in materials science for combining multi-modal simulative and experimental information using data mining and large language models
Towards an automated workflow in materials science for combining multi-modal simulative and experimental information using data mining and large language models
Balduin Katzer
Steffen Klinder
Katrin Schulz
AI4CE
61
0
0
24 Feb 2025
RAG-Enhanced Collaborative LLM Agents for Drug Discovery
RAG-Enhanced Collaborative LLM Agents for Drug Discovery
Namkyeong Lee
Edward De Brouwer
Ehsan Hajiramezanali
Tommaso Biancalani
Chanyoung Park
Gabriele Scalia
43
0
0
22 Feb 2025
MDCrow: Automating Molecular Dynamics Workflows with Large Language Models
MDCrow: Automating Molecular Dynamics Workflows with Large Language Models
Quintina Campbell
Sam Cox
Jorge Medina
Brittany Watterson
A. White
LLMAG
AI4CE
53
2
0
13 Feb 2025
Toward Inclusive Educational AI: Auditing Frontier LLMs through a Multiplexity Lens
Toward Inclusive Educational AI: Auditing Frontier LLMs through a Multiplexity Lens
Abdullah Mushtaq
Muhammad Rafay Naeem
Muhammad Imran Taj
Ibrahim Ghaznavi
Junaid Qadir
24
2
0
08 Jan 2025
Rapid and Automated Alloy Design with Graph Neural Network-Powered
  LLM-Driven Multi-Agent Systems
Rapid and Automated Alloy Design with Graph Neural Network-Powered LLM-Driven Multi-Agent Systems
Alireza Ghafarollahi
Markus J. Buehler
AI4CE
20
2
0
17 Oct 2024
Leveraging Chemistry Foundation Models to Facilitate Structure Focused
  Retrieval Augmented Generation in Multi-Agent Workflows for Catalyst and
  Materials Design
Leveraging Chemistry Foundation Models to Facilitate Structure Focused Retrieval Augmented Generation in Multi-Agent Workflows for Catalyst and Materials Design
Nathaniel H. Park
Tiffany J. Callahan
James L. Hedrick
Tim Erdmann
Sara Capponi
AI4CE
33
1
0
21 Aug 2024
Cephalo: Multi-Modal Vision-Language Models for Bio-Inspired Materials
  Analysis and Design
Cephalo: Multi-Modal Vision-Language Models for Bio-Inspired Materials Analysis and Design
Markus J. Buehler
MLLM
42
13
0
29 May 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
57
19
0
03 Mar 2024
Evolutionary Computation in the Era of Large Language Model: Survey and
  Roadmap
Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap
Xingyu Wu
Sheng-hao Wu
Jibin Wu
Liang Feng
Kay Chen Tan
ELM
51
59
0
18 Jan 2024
An Interdisciplinary Outlook on Large Language Models for Scientific
  Research
An Interdisciplinary Outlook on Large Language Models for Scientific Research
James Boyko
Joseph Cohen
Nathan Fox
Maria Han Veiga
Jennifer I-Hsiu Li
...
Andreas H. Rauch
Kenneth N. Reid
Soumi Tribedi
Anastasia Visheratina
Xin Xie
38
17
0
03 Nov 2023
ForceGen: End-to-end de novo protein generation based on nonlinear
  mechanical unfolding responses using a protein language diffusion model
ForceGen: End-to-end de novo protein generation based on nonlinear mechanical unfolding responses using a protein language diffusion model
Bo Ni
David L. Kaplan
Markus J. Buehler
DiffM
33
5
0
16 Oct 2023
Generative modeling, design and analysis of spider silk protein
  sequences for enhanced mechanical properties
Generative modeling, design and analysis of spider silk protein sequences for enhanced mechanical properties
Wei Lu
David L. Kaplan
Markus J. Buehler
21
31
0
18 Sep 2023
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
Qingyun Wu
Gagan Bansal
Jieyu Zhang
Yiran Wu
Beibin Li
...
Jiale Liu
Ahmed Hassan Awadallah
Ryen W. White
Doug Burger
Chi Wang
LLMAG
AI4CE
48
273
0
16 Aug 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
307
2,232
0
22 Mar 2023
Tranception: protein fitness prediction with autoregressive transformers
  and inference-time retrieval
Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval
Pascal Notin
M. Dias
J. Frazer
Javier Marchena-Hurtado
Aidan Gomez
D. Marks
Y. Gal
55
177
0
27 May 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
190
173
0
26 May 2022
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