ESM
A series of protein language models released by Meta, based on the Transformer architecture and pretrained on protein amino acid sequences. The models are capable of predicting protein structures and de novo generating novel sequences with specified functional properties.
Timeline (last 90 days)
ESMFold and EvoDiff released by Meta support protein sequence generation.
ESM (ECMAScript Modules) is the standard format for Node.js's modern module system; its import statements are statically parsed at process startup and loaded into memory all at once, and the disk is not read again afterward.
As long as the host process has not restarted, no matter how the module code on the filesystem is modified, what runs in memory is always the snapshot cached at the moment of startup.
Microsoft has the "AI for Health" program, Google has the "DeepMind Science Team," and Meta developed the ESM protein language model.
Current mainstream AI antibody design methods include structure generation based on diffusion models (such as RFdiffusion), sequence generation based on language models (such as ESM and AntiBERTy), and hybrid architectures.
Specialized AI models for antimicrobial peptide discovery are typically based on graph neural networks or protein language models (such as the ESM series), trained on known antimicrobial peptide sequences and activity data.
Meta的ESM蛋白质语言模型基于Transformer架构，将蛋白质序列视为生物语言
JavaScript模块系统的统一从2009年CommonJS到2015年ESM花了近十年时间
All Facts (8)
ESMFold and EvoDiff released by Meta support protein sequence generation.
50%UnverifiedESM (ECMAScript Modules) is the standard format for Node.js's modern module system; its import statements are statically parsed at process startup and loaded into memory all at once, and the disk is not read again afterward.
50%UnverifiedAs long as the host process has not restarted, no matter how the module code on the filesystem is modified, what runs in memory is always the snapshot cached at the moment of startup.
50%UnverifiedMicrosoft has the "AI for Health" program, Google has the "DeepMind Science Team," and Meta developed the ESM protein language model.
50%UnverifiedCurrent mainstream AI antibody design methods include structure generation based on diffusion models (such as RFdiffusion), sequence generation based on language models (such as ESM and AntiBERTy), and hybrid architectures.
50%UnverifiedSpecialized AI models for antimicrobial peptide discovery are typically based on graph neural networks or protein language models (such as the ESM series), trained on known antimicrobial peptide sequences and activity data.
50%UnverifiedMeta的ESM蛋白质语言模型基于Transformer架构，将蛋白质序列视为生物语言
50%UnverifiedJavaScript模块系统的统一从2009年CommonJS到2015年ESM花了近十年时间
50%