et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583–589 (2021). 语言模型的动手实践可参考: medium.com/analytics-vi 2. 论文速读 2.1 摘要 大型语言模型(Large language models, LLMs)可以响应自由文本查询,而无需在相关任务中进行专门训练,这引起了人们对其在医疗保健环境...
(12)Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling(2023),作者为Biderman、Schoelkopf、Anthony、Bradley、O'Brien、Hallahan、Khan、Purohit、Prashanth、Raff、Skowron、Sutawika和van der Wal,文章链接: Pythia是一套开源的LLMs(70M到12B个参数),用于研究LLMs在训练过程中的演变。
The promises of large language models for protein design and modelingdoi:10.3389/fbinf.2023.1304099Valentini, GiorgioMalchiodi, DarioGliozzo, JessicaMesiti, MarcoSoto-Gomez, MauricioCabri, AlbertoReese, JustinCasiraghi, ElenaRobinson, Peter N.Frontiers in Bioinformatics...
In addition, existing computational methods predict HEPs only at the cell line level, but HEPs vary across living human, cell line and animal models. Here we develop a sequence-based deep learning model, Protein Importance Calculator (PIC), by fine-tuning a pretrained protein language model. ...
Language is used for more than human communication. Code is the language of computers. Protein and molecular sequences are the language of biology. Large language models can be applied to such languages or scenarios in which communication of different types is needed. ...
Large Language Models (LLMs), including GPT-x and LLaMA2, have achieved remarkable performance in multiple Natural Language Processing (NLP) tasks. Under the premise that protein sequences constitute the protein language, Protein Large Language Models (ProLLMs) trained on protein corpora excel at ...
-lutionary information is encoded in protein sequences.Inspired by the similarity between natural languageand protein sequences, we use large-scale languagemodels to model evolutionary-scale protein sequences,encoding protein biology information in representation.Signif i cant improvements are observed in ...
Structure of the space of folding protein sequences def i ned bylarge language modelsA. Zambon 1 , R. Zecchina 2 and G. Tiana 1,31Department of Physics and Center for Complexity and Biosystems,Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy2Bocconi University, via ...
Artificial intelligence (AI) has significantly impacted various fields. Large language models (LLMs) like GPT-4, BARD, PaLM, Megatron-Turing NLG, Jurassic-
learning models started to harness the vast amount of protein sequence data, resulting in powerful pretrained language models with the main purpose of generating high-dimensional numerical representations, embeddings, for individual sites that agglomerate evolutionary, structural, and biophysical information. ...