Predicting Structural Consequences of Antibody Light Chain N ...

Background/Objectives: Antibody light chains form amyloid fibrils that lead to progressive tissue damage in amyloid light chain (AL) amyloidosis.

The theoretical analysis is well-designed, employs appropriate statistical methods, and utilizes high-quality sources of light chain sequences. The manuscript ...

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

Despite lower MLM loss in conserved regions, this does not necessarily mean the model effectively captures essential antibody properties. Thus, ...

Improved deep learning prediction of antigen–antibody interactions

In our benchmark analysis, we focus on the VH and VL domains of these antibodies. None of the true positives exhibits a sid* value of 85% or ...

Antibody Structural Modeling

How well did the server predict the overall position of the antibody? Did it adjust the HCDR3 positioning and heavy/light chain orientation to be closer to the ...

The Structural Basis of Antibody-Antigen Recognition - Frontiers

EPSVR and EPMeta: prediction of antigenic epitopes using support vector regression and ... and myeloma light chains and their implications for antibody ...

Structural and thermodynamic insights into antibody light chain ...

Overexpression of antibody light chains in small plasma cell clones can lead to misfolding and aggregation. On the other hand, the formation ...

Hybrid structural modeling of alloantibody binding to human ...

These results suggest that a predictive-based hybrid structural modeling approach supplemented with cross-linking mass spectrometry data can ...

ABodyBuilder3: Improved and scalable antibody structure predictions

They are constructed from two heavy and two light chains, separated into distinct domains. The tip of each of the two antibody binding arms is ...

Understanding the Significance and Implications of Antibody ...

The CDRs are separated by structurally conserved regions called framework regions (FR-1,-2,-3, and-4) that form a “core” β-sheet structure displaying these ...

A Comparison of Antibody-Antigen Complex Sequence-to-Structure ...

The ability to accurately predict antibody-antigen complex structures from their sequences could greatly advance our understanding of the immune ...

Full article: Predicting antibody binders and generating synthetic ...

generated SARS-CoV-2 receptor-binding domain (RBD) mutagenesis libraries, then used FACS to screen for binding to ACE2 or anti-RBD antibodies. Sequencing data ...

Learning context-aware structural representations to predict antigen ...

We show that this single framework achieves state-of-the-art performance at predicting binding interfaces on both antibodies and antigens, and that each of its ...

Contextualising the developability risk of antibodies with lambda ...

Antibodies with lambda light chains (λ-antibodies) are generally considered to be less developable than those with kappa light chains ...

Improved antibody structure-based design using inverse folding - arXiv

AntiFold, fine-tuned from the general protein inverse folding ESM-IF1, achieves state-of-the-art performance on antibody sequence recovery and ...

Antibody structure prediction using interpretable deep learning

Antibody structure consists of two heavy and two light chains that assemble into a large Y-shaped complex. The crystallizable fragment (FC) region is involved ...

Evaluation of AlphaFold antibody–antigen modeling with ...

... light chain antibody–antigen complexes (N = 295). To understand the ... and has difficulty predicting the structure of larger antibody–antigen ...

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

The model firstly predicts monomer structures of each chain, and then refines them into heavy-light chain complex structure prediction, which ...

Deciphering the language of antibodies using self-supervised learning

We initially demonstrate the success of the model by providing leading results in antibody binding site prediction. The model is amenable to ...

Toward generalizable prediction of antibody thermostability using ...

Our results suggest that such models can be broadly applicable for improving the biological characteristics of antibodies. Further, transferring such models for ...