ESMFold2 Model Details ESMFold2 is a state of the art model for protein structure prediction and design that defines a new frontier for speed and accuracy. The model predicts high resolution, all atom 3D protein structures directly from amino acid sequences, with optional multiple sequence alignment (MSA) input for enhanced accuracy on challenging targets. The model outputs comprehensive structural information including all atom coordinates (backbone and side chains), confidence metrics (pLDDT, pAE, pTM, iPTM), and optional distogram predictions for detailed analysis of predicted structures. Unlike ESMFold, ESMFold2 is able to predict structures for all biomolecules, including small molecules, DNA, RNA, and modified amino acids. ESMFold2 is capable of either single sequence or MSA conditioned structure prediction for improved accuracy on difficult targets. The ESMFold2 Fast variant is an inference optimized single sequence structure prediction model and is not MSA conditioned. To run this model with the Biohub Platform API, visit the Biohub Platform. Read more about ESMFold2 in our paper here. Model Variants Model MSA Conditioning Description Data Cutoff : : : : ESMFold2 Yes Large…
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