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Related papers: Accelerating MHC-II Epitope Discovery via Multi-Sc…

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Motivation: In silico methods for the prediction of antigenic peptides binding to MHC class I molecules play an increasingly important role in the identification of T-cell epitopes. Statistical and machine learning methods, in particular,…

Quantitative Methods · Quantitative Biology 2007-05-23 Laurent Jacob , Jean-Philippe Vert

Major histocompatibility complex class two (MHC-II) molecules are trans-membrane proteins and key components of the cellular immune system. Upon recognition of foreign peptides expressed on the MHC-II binding groove, helper T cells mount an…

Quantitative Methods · Quantitative Biology 2017-12-05 A. M. Degoot , Faraimunashe Chirove , Wilfred Ndifon

Accurately predicting antibody-antigen binding residues, i.e., paratopes and epitopes, is crucial in antibody design. However, existing methods solely focus on uni-modal data (either sequence or structure), disregarding the complementary…

Biomolecules · Quantitative Biology 2024-06-03 Zhiwei Wang , Yongkang Wang , Wen Zhang

The major histocompatibility complex (MHC) molecules, which bind peptides for presentation on the cell surface, play an important role in cell-mediated immunity. In light of developing databases and technologies over the years, significant…

Biomolecules · Quantitative Biology 2023-01-26 Ayşenaz Ezgi Ergin , Deniz Turgay Altılar

Antibodies, a prominent class of approved biologics, play a crucial role in detecting foreign antigens. The effectiveness of antigen neutralisation and elimination hinges upon the strength, sensitivity, and specificity of the…

Quantitative Methods · Quantitative Biology 2023-09-06 Bruna Moreira da Silva , David B. Ascher , Nicholas Geard , Douglas E. V. Pires

The process of identifying and characterizing B-cell epitopes, which are the portions of antigens recognized by antibodies, is important for our understanding of the immune system, and for many applications including vaccine development,…

Quantitative Methods · Quantitative Biology 2025-12-10 Xiao Yuan

Epitopes are short antigenic peptide sequences which are recognized by antibodies or immune cell receptors. These are central to the development of immunotherapies, vaccines, and diagnostics. However, the rational design of synthetic…

Many biological processes are governed by protein-ligand interactions. One such example is the recognition of self and nonself cells by the immune system. This immune response process is regulated by the major histocompatibility complex…

Quantitative Methods · Quantitative Biology 2017-04-14 Yeeleng Scott Vang , Xiaohui Xie

Human metapneumovirus (hMPV) poses serious risks to pediatric, elderly, and immunocompromised populations. Traditional antibody discovery pipelines require 10-12 months, limiting their applicability for rapid outbreak response. This project…

Quantitative Methods · Quantitative Biology 2025-09-01 Shawnak Shivakumar , Matthew Sandora

Antibodies play a central role in the immune response by specifically recognizing and neutralizing antigens, and therapeutic antibodies have become major drugs for cancer and autoimmune diseases. However, their discovery still relies on…

Quantitative Methods · Quantitative Biology 2026-05-29 Xiao Luo

The major histocompatibility complex (MHC) class-I pathway supports the detection of cancer and viruses by the immune system. It presents parts of proteins (peptides) from inside a cell on its membrane surface enabling visiting immune cells…

Quantitative Methods · Quantitative Biology 2021-11-16 Hans-Christof Gasser , Georges Bedran , Bo Ren , David Goodlett , Javier Alfaro , Ajitha Rajan

T-cell receptors can recognize foreign peptides bound to major histocompatibility complex (MHC) class-I proteins, and thus trigger the adaptive immune response. Therefore, identifying peptides that can bind to MHC class-I molecules plays a…

Quantitative Methods · Quantitative Biology 2020-12-09 Ziqi Chen , Martin Renqiang Min , Xia Ning

Immunohistochemistry (IHC) plays a crucial role in pathology as it detects the over-expression of protein in tissue samples. However, there are still fewer machine learning model studies on IHC's impact on accurate cancer grading. We…

Computer Vision and Pattern Recognition · Computer Science 2024-05-15 Jun Wang , Yu Mao , Yufei Cui , Nan Guan , Chun Jason Xue

Predicting peptide--major histocompatibility complex I (pMHC-I) binding affinity remains challenging due to extreme allelic diversity ($\sim$30,000 HLA alleles), severe data scarcity for most alleles, and noisy experimental measurements.…

Quantitative Methods · Quantitative Biology 2025-07-18 Sergio E. Mares , Ariel Espinoza Weinberger , Nilah M. Ioannidis

An unsolved challenge in the development of antigen specific immunotherapies is determining the optimal antigens to target. Comprehension of antigen-MHC binding is paramount towards achieving this goal. Here, we present CASTELO, a combined…

Quantitative Methods · Quantitative Biology 2020-12-09 David Bell , Giacomo Domeniconi , Chih-Chieh Yang , Ruhong Zhou , Leili Zhang , Guojing Cong

Predicting the binding of viral peptides to the major histocompatibility complex with machine learning can potentially extend the computational immunology toolkit for vaccine development, and serve as a key component in the fight against a…

Quantitative Methods · Quantitative Biology 2021-04-19 Johanna Vielhaben , Markus Wenzel , Eva Weicken , Nils Strodthoff

In cancer therapeutics, protein-metal binding mechanisms critically govern the pharmacokinetics and targeting efficacy of drugs, thereby fundamentally shaping the rational design of anticancer metallodrugs. While conventional laboratory…

T-cells play a key role in adaptive immunity by mounting specific responses against diverse pathogens. An effective binding between T-cell receptors (TCRs) and pathogen-derived peptides presented on Major Histocompatibility Complexes (MHCs)…

Quantitative Methods · Quantitative Biology 2025-09-05 Gian Marco Visani , Michael N. Pun , Anastasia A. Minervina , Philip Bradley , Paul Thomas , Armita Nourmohammad

Pro-inflammatory peptides (PIPs) play critical roles in immune signaling and inflammation but are difficult to identify experimentally due to costly and time-consuming assays. To address this challenge, we present KEMP-PIP, a hybrid machine…

Quantitative Methods · Quantitative Biology 2026-02-25 Soumik Deb Niloy , Md. Fahmid-Ul-Alam Juboraj , Swakkhar Shatabda

Recently, therapeutic peptides have demonstrated great promise for cancer treatment. To explore powerful anticancer peptides, artificial intelligence (AI)-based approaches have been developed to systematically screen potential candidates.…

Quantitative Methods · Quantitative Biology 2025-04-16 Joshua Zhi En Tan , JunJie Wee , Xue Gong , Kelin Xia
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