English
Related papers

Related papers: Sequence-Based Nanobody-Antigen Binding Prediction

200 papers

Predicting the binding free energy between antibodies and antigens is a key challenge in structure-aware biomolecular modeling, with direct implications for antibody design. Most existing methods either rely solely on sequence embeddings or…

Biomolecules · Quantitative Biology 2025-08-28 Ciyuan Yu , Hongzong Li , Jiahao Ma , Shiqin Tang , Ye-Fan Hu , Jian-Dong Huang

Nanobodies are small antibody fragments derived from camelids that selectively bind to antigens. These proteins have marked physicochemical properties that support advanced therapeutics, including treatments for SARS-CoV-2. To realize their…

Quantitative Methods · Quantitative Biology 2021-10-18 Chris McKennan , Zhe Sang , Yi Shi

In recent decades, antibodies have emerged as indispensable therapeutics for combating diseases, particularly viral infections. However, their development has been hindered by limited structural information and labor-intensive engineering…

Biomolecules · Quantitative Biology 2023-09-01 Hongtai Jing , Zhengtao Gao , Sheng Xu , Tao Shen , Zhangzhi Peng , Shwai He , Tao You , Shuang Ye , Wei Lin , Siqi Sun

Antibody therapeutics has been extensively studied in drug discovery and development within the past decades. One increasingly popular focus in the antibody discovery pipeline is the optimization step for therapeutic leads. Both traditional…

Biomolecules · Quantitative Biology 2022-08-16 Yue Kang , Dawei Leng , Jinjiang Guo , Lurong Pan

DNA-binding proteins are a class of proteins which have a specific or general affinity to DNA and include three important components: transcription factors; nucleases, and histones. DNA-binding proteins also perform important roles in many…

Computer Vision and Pattern Recognition · Computer Science 2012-07-12 Sokyna Qatawneh , Afaf Alneaimi , Thamer Rawashdeh , Mmohammad Muhairat , Rami Qahwaji , Stan Ipson

Therapeutic antibody development has become an increasingly popular approach for drug development. To date, antibody therapeutics are largely developed using large scale experimental screens of antibody libraries containing hundreds of…

Quantitative Methods · Quantitative Biology 2022-10-07 Lin Li , Esther Gupta , John Spaeth , Leslie Shing , Tristan Bepler , Rajmonda Sulo Caceres

The success of therapeutic antibodies relies on their ability to selectively bind antigens. AI-based antibody design protocols have shown promise in generating epitope-specific designs. Many of these protocols use an inverse folding step to…

Quantitative Methods · Quantitative Biology 2023-12-12 Divya Nori , Simon V. Mathis , Amir Shanehsazzadeh

Protein-nucleic acid interactions play a very important role in a variety of biological activities. Accurate identification of nucleic acid-binding residues is a critical step in understanding the interaction mechanisms. Although many…

Quantitative Methods · Quantitative Biology 2024-01-23 Wenwu Zeng , Dafeng Lv , Wenjuan Liu , Shaoliang Peng

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 field of DNA nanotechnology has made it possible to assemble, with high yields, different structures that have actionable properties. For example, researchers have created components that can be actuated. An exciting next step is to…

Machine Learning · Computer Science 2021-02-01 Emma Benjaminson , Rebecca E. Taylor , Matthew Travers

Modeling the interaction between proteins and ligands and accurately predicting their binding structures is a critical yet challenging task in drug discovery. Recent advancements in deep learning have shown promise in addressing this…

Machine Learning · Computer Science 2024-01-10 Qizhi Pei , Kaiyuan Gao , Lijun Wu , Jinhua Zhu , Yingce Xia , Shufang Xie , Tao Qin , Kun He , Tie-Yan Liu , Rui Yan

Antibody-facilitated immune responses are central to the body's defense against pathogens, viruses, and other foreign invaders. The ability of antibodies to specifically bind and neutralize antigens is vital for maintaining immunity. Over…

Machine Learning · Computer Science 2025-06-12 Delower Hossain , Ehsan Saghapour , Kevin Song , Jake Y. Chen

Protein-ligand binding is the process by which a small molecule (drug or inhibitor) attaches to a target protein. Binding affinity, which characterizes the strength of biomolecular interactions, is essential for tackling diverse challenges…

Antibodies are versatile proteins that can bind to pathogens and provide effective protection for human body. Recently, deep learning-based computational antibody design has attracted popular attention since it automatically mines the…

Biomolecules · Quantitative Biology 2022-11-18 Kaiyuan Gao , Lijun Wu , Jinhua Zhu , Tianbo Peng , Yingce Xia , Liang He , Shufang Xie , Tao Qin , Haiguang Liu , Kun He , Tie-Yan Liu

The first step in drug discovery is finding drug molecule moieties with medicinal activity against specific targets. Therefore, it is crucial to investigate the interaction between drug-target proteins and small chemical molecules. However,…

Biomolecules · Quantitative Biology 2022-11-15 Boyuan Liu

Predicting the 3D structure of a macromolecule, such as a protein or an RNA molecule, is ranked top among the most difficult and attractive problems in bioinformatics and computational biology. Its importance comes from the relationship…

Biomolecules · Quantitative Biology 2016-12-14 Zhiyong Wang

A network of nanomachines (NMs) can be used to build a target detection system for a variety of promising applications. They have the potential to detect toxic chemicals, infectious bacteria, and biomarkers of dangerous diseases such as…

Information Theory · Computer Science 2024-01-10 Nithin V. Sabu , Abhishek K. Gupta

Antibodies are proteins produced by the immune system that recognize and bind to specific antigens, and their 3D structures are crucial for understanding their binding mechanism and designing therapeutic interventions. The specificity of…

Machine Learning · Computer Science 2024-10-23 Jiying Zhang , Zijing Liu , Shengyuan Bai , He Cao , Yu Li , Lei Zhang

Antibodies are a critical part of the immune system, having the function of directly neutralising or tagging undesirable objects (the antigens) for future destruction. Being able to predict which amino acids belong to the paratope, the…

Machine Learning · Statistics 2020-04-14 Andreea Deac , Petar Veličković , Pietro Sormanni

Antibodies are widely used reagents to test for expression of proteins and other antigens. However, they might not always reliably produce results when they do not specifically bind to the target proteins that their providers designed them…

‹ Prev 1 2 3 10 Next ›