Accurate prediction of antibody function and structure using bio ...

We present the Bio-inspired Antibody Language Model (BALM). This model is trained on a vast dataset comprising 336 million 40% nonredundant unlabeled antibody ...

(PDF) Accurate prediction of antibody function and structure using ...

In recent decades, antibodies have emerged as indispensable therapeutics for combating diseases, particularly viral infections.

Correction to: Accurate prediction of antibody function and structure ...

Correction to: Accurate prediction of antibody function and structure using bio-inspired antibody language model · Cite · Citations · Views.

Diego del Alamo on X: ""Accurate Prediction of Antibody Function ...

"Accurate Prediction of Antibody Function and Structure Using Bio-Inspired Antibody Language Model" SOTA performance in multiple domains ...

Fast, accurate antibody structure prediction from deep learning on ...

The binding of antibodies is facilitated by a set of six hypervariable loops that are diversified through genetic recombination and mutation.

Accurate Prediction of Antibody Function and Structure Using Bio ...

This model is trained on a vast dataset comprising 336 million 40% non-redundant unlabeled antibody sequences, capturing both unique and conserved properties ...

Correction to: Accurate prediction of antibody function and structure ...

Correction to: Accurate prediction of antibody function and structure using bio- ... Brief Bioinform. 2024 Jul 25;25(5):bbae402. doi: 10.1093/bib/bbae402.

Correction to: Accurate prediction of antibody function and structure ...

Correction to: Accurate prediction of antibody function and structure using bio-inspired antibody language model-article.

Advances in computational structure-based antibody design

Recent advances in computational methods are ushering in a new era of antibody design, driven in part by accurate structure prediction. Previously, structure- ...

Accurate prediction of CDR-H3 loop structures of antibodies ... - eLife

This work, supported by convincing experiments for validation, is important because the method can aid in the design of antibodies, which are ...

Accurate structure prediction of biomolecular interactions ... - Nature

5b), despite the model receiving reference structures with correct chirality as input features. ... a, Antibody prediction quality increases with ...

Accurate prediction of CDR-H3 loop structures of antibodies ... - eLife

The CDR heavy chain 3 (CDR-H3) loop is the most variable region in both length and amino acid sequence, and it plays a central role in antigen binding for both ...

ABodyBuilder3: Improved and scalable antibody structure predictions

Accurate prediction of antibody structure is a central task in the design and development of monoclonal antibodies, notably to understand both ...

Antibody structure prediction using interpretable deep learning

Accurate structure models are critical for understanding the properties of potential therapeutic antibodies. Conventional methods for protein structure ...

tFold-Ab: Fast and Accurate Antibody Structure Prediction without ...

Accurate prediction of antibody structures is critical in analyzing the function of antibodies, thus enabling the rational design of antibodies.

FvFold: A model to predict antibody Fv structure using protein ...

Antibodies are key to the immune system, recognizing antigens and crucial for therapeutic progress. · Accurate Fv region prediction is essential for advancing ...

Accurate prediction of antibody function and structure using bio ...

Comparison of structure prediction performance of methods with average RMSD scores on nanobody benchmark. Method . CDR 1 . CDR 2 . CDR 3 . FR . BALMFold, 1.50 ...

Structural modeling of antibody variable regions using deep ...

Antibody structures provide rich information that can be used to improve various prediction features, such as molecular recognition (Oh et al., 2021), liability ...

Challenges in antibody structure prediction - Taylor & Francis Online

Accurate structure models are a prerequisite to advance biophysical property predictions and consequently antibody design. Specialized tools used to predict ...

Antibody structure prediction using interpretable deep learning

Accurate prediction of antibody function and structure using bio-inspired antibody language model · Computer Science, Biology. bioRxiv · 2023.