Feb 21, 2025 · Protein-specific large language models (Protein LLMs) are revolutionizing protein science by enabling more efficient protein structure prediction, function annotation, and design.

SWISS-MODEL is a fully automated protein structure homology-modelling server. The purpose of this server is to make protein modelling accessible to all life science researchers worldwide.

Articulating 3D printed protein models allows you to demonstrate your protein's 'Mechanism of Action' or explain how complex multi-chain protein assemble. Perfect science communication …

The goal of the Protein Model Portal (PMP) is to provide a single portal which gives access to the various models that can be leveraged from PSI targets and other experimental protein structures.

Feb 11, 2025 · Advances in machine learning and automated biofoundry present new opportunities for optimizing these processes. This study devises a protein language model …

Feb 15, 2024 · Protein language models learn from diverse sequences spanning the evolutionary tree and have proven to be powerful tools for sequence design, variant effect prediction and …

Nov 7, 2024 · Extending beyond text and vision, we introduce OneProt, a multi-modal AI for proteins that integrates structural, sequence, alignment, and binding site data. Using the …

Dec 19, 2024 · ProCyon models, generates, and predicts protein phenotypes by processing arbitrarily interleaved inputs, including text, protein sequences, protein domains, peptide data, …

Nov 15, 2023 · We introduce a suite of protein language models, named ProGen2, that are scaled up to 6.4B parameters and trained on different sequence datasets drawn from over a billion …

Mar 12, 2025 · Large language models have made remarkable progress in the field of molecular science, particularly in understanding and generating functional small molecules. This success …

Apr 12, 2024 · Yang and colleagues built a series of CNN-based protein language models called CARP (convolutional autoencoding representations of proteins) using the same pretraining …

Comparative protein structure modeling is a computational approach to build three-dimensional structural models for proteins using experimental structures of related protein family members …

Proteina is a novel flow-based protein backbone generative model. It is trained with flow matching, leverages a scalable and efficient transformer architecture, and offers hierarchical fold class …

Mar 15, 2024 · Overall, Modeller provides a range of tools and options for building protein models, from basic modeling protocols to advanced modeling strategies and refinement techniques, …

OPMC offers a platform that supports a wide range of protein function predictions, aiming to make advanced protein modeling accessible to researchers irrespective of their machine learning …

Oct 6, 2024 · Protein foundation models, particularly protein language models, have demonstrated strong success in learning meaningful representations of proteins using …

Comparative modeling predicts the 3-D structure of a given protein sequence (target) based primarily on its alignment to one or more proteins of known structure (templates).

What are Protein Family Models? The Protein Family Models database contains Hidden Markov models (HMM), conserved domain (CDD) architectures and BlastRules that represent protein …

Dec 18, 2024 · Protein language models (PLMs) have shown promise in improving the understanding of protein sequences, contributing to advances in areas such as function …

Protein models can be of great assistance in functional genomics, as they provide the structural insights often necessary to understand protein function. Although comparative modelling is far …

Feb 19, 2025 · The model already shows enough versatility to identify genetic changes that affect protein function and organism fitness. For example, in tests with variants of the breast cancer …

Oct 3, 2024 · Leveraging billions of years of evolution, scientists have trained protein language models (pLMs) to understand the sequence and structure space of proteins aiding in the …

Homology (or comparative) modeling methods make use of experimental protein structures to build models for evolutionary related proteins. Experimental structural biology and homology …

Computational protein structure modeling techniques have the potential to bridge this sequence-structure gap. In the following chapter, we present an example that illustrates the use of …

Feb 19, 2025 · sequences: Defines the target protein chains for which the multimeric structure prediction will be performed. algorithm: Specifies the algorithm used to search for homologous …

Mar 12, 2025 · Although some models have been proposed, such as RoseTTAFold, ESMFold, OpenFold and EigenFold etc. 34, the correlation with protein folding flexibility still does not …