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Many factors influence biomolecules binding, and its assessment constitutes an elusive challenge in computational structural biology. In this respect, the evaluation of shape complementarity at molecular interfaces is one of the main…

The high binding affinity of antibodies towards their cognate targets is key to eliciting effective immune responses, as well as to the use of antibodies as research and therapeutic tools. Here, we propose ANTIPASTI, a Convolutional Neural…

Quantitative Methods · Quantitative Biology 2024-10-03 Kevin Michalewicz , Mauricio Barahona , Barbara Bravi

It is difficult to predict how antibodies will behave when mixed together, even after each has been independently characterized. Here, we present a statistical mechanical model for the activity of antibody mixtures that accounts for whether…

Cell Behavior · Quantitative Biology 2020-07-01 Tal Einav , Jesse D Bloom

The physical interpretation of the functioning of the adaptive immune system, which has been thoroughly characterized on genetic and molecular levels, provides a unique opportunity to define an adaptive self-organizing biological system in…

Molecular Networks · Quantitative Biology 2023-05-19 Jozsef Prechl

The toxins associated with infectious diseases are potential targets for inhibitors which have the potential for prophylactic or therapeutic use. Many antibodies have been generated for this purpose, and the objective of this study was to…

Quantitative Methods · Quantitative Biology 2015-03-19 Alex Skvortsov , Peter Gray

Antibody-based therapeutics-including antibody-drug conjugates (ADCs), bispecific antibodies, and novel formats-are reshaping oncology, yet key determinants of efficacy, safety, and manufacturability frequently emerge after conjugation and…

Soft Condensed Matter · Physics 2026-05-18 Alberto Ocana , Jorge R. Espinosa

After discussing the relevance of statistical physics in molecular recognition processes, we present a schematic model for ligand-receptor association based on an Ising chain. We discuss the possible behaviors of the affinity when the…

Soft Condensed Matter · Physics 2010-04-09 Fabrice Thalmann

Adaptive humoral immunity, from the physical perspective, can be regarded as the self-organization of the binding energy landscape of antibodies. In biological terms, the humoral immune system evolves and adapts its repertoire of antigen…

Other Quantitative Biology · Quantitative Biology 2025-09-15 Jozsef Prechl

We study a simplified model of monoclonal antibodies confined in a patchy random porous medium. Antibodies are represented as Y-shaped particles composed of seven tangential hard spheres with attractive patches on the terminal beads, while…

Soft Condensed Matter · Physics 2026-03-31 Yu. V. Kalyuzhnyi , T. Patsahan

Affinity maturation produces antibodies that bind antigens with high specificity by accumulating mutations in the antibody sequence. Mapping out the antibody-antigen affinity landscape can give us insight into the accessible paths during…

Populations and Evolution · Quantitative Biology 2019-05-14 Rhys M. Adams , Justin B. Kinney , Aleksandra M. Walczak , Thierry Mora

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

Aptamers are single stranded DNA, RNA or peptide sequences having the ability to bind a variety of specific targets (proteins, molecules as well as ions). Therefore, aptamer production and selection for therapeutic and diagnostic…

Biomolecules · Quantitative Biology 2018-01-04 R. Cataldo , E. Alfinito , L. Reggiani

The spatial organization of cell membrane glycoproteins and glycolipids is critical for mediating the binding of ligands, receptors, and macromolecules on the plasma membrane. However, we currently do not have the methods to quantify the…

Biological Physics · Physics 2023-06-21 Daniel P. Arnold , Yaxin Xu , Sho C. Takatori

We present a computational scheme for predicting the ligands that bind to a pocket of known structure. It is based on the generation of a general abstract representation of the molecules, which is invariant to rotations, translations and…

Chemical Physics · Physics 2024-05-09 R. Beccaria , A. Lazzeri , G. Tiana

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…

We analyze the interactions between division, mutation and selection in a simplified evolutionary model, assuming that the population observed can be classified into fitness levels. The construction of our mathematical framework is…

Probability · Mathematics 2018-01-04 Irene Balelli , Vuk Milišić , Gilles Wainrib

Nanoscientists have long conjectured that adjacent nanoparticles aggregate with one another in certain preferential directions during a chemical synthesis of nanoparticles, which is referred to the oriented attachment. For the study of the…

The adhesion of cells is mediated by receptors and ligands anchored in apposing membranes. A central question is how to characterize the binding affinity of these membrane-anchored molecules. For soluble molecules, the binding affinity is…

Soft Condensed Matter · Physics 2009-06-03 Heinrich Krobath , Bartosz Rozycki , Reinhard Lipowsky , Thomas R. Weikl

Immune cells learn about their antigenic targets using tactile sense: during recognition, a highly organized yet dynamic motif, named immunological synapse, forms between immune cells and antigen-presenting cells (APCs). Via synapses,…

Biological Physics · Physics 2018-12-12 Miloš Knežević , Shenshen Wang

Motivation: The clinical efficacy of antibody therapeutics critically depends on high-affinity target engagement, yet laboratory affinity-maturation campaigns are slow and costly. In computational settings, most protein language models…

Computational Engineering, Finance, and Science · Computer Science 2025-12-22 Xinyan Zhao , Yi-Ching Tang , Rivaaj Monsia , Victor J. Cantu , Ashwin Kumar Ramesh , Xiaozhong Liu , Zhiqiang An , Xiaoqian Jiang , Yejin Kim
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