A mathematical model for biopanning (affinity selection) using peptide libraries on filamentous phage. 1995

W Mandecki, and Y C Chen, and N Grihalde
Abbott Laboratories, North Chicago, IL 60064-4000, USA.

A mathematical model is presented for the process of selection of peptides for binding to a target. The affinity enrichment process commonly known as biopanning relies on subjecting a library of peptides on filamentous phage to a selection for binding to the target immobilized on solid support or in solution. The model is an implementation of the mass-action law to the diverse population of macromolecular assemblies. An analytical solution is presented for the enrichment process. Most parameters in the enrichment formula can be easily determined experimentally. Two examples corresponding to biopanning with epitope libraries and antibody libraries are given. The model allows for an estimation of the contribution of equilibrium and dissociative biopanning to the overall enrichment. The model can be a tool in the evaluation of the role of different biopanning parameters. Its implementation in a spreadsheet makes it possible to perform a computer simulation of a biopanning experiment.

UI MeSH Term Description Entries
D008954 Models, Biological Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment. Biological Model,Biological Models,Model, Biological,Models, Biologic,Biologic Model,Biologic Models,Model, Biologic
D008962 Models, Theoretical Theoretical representations that simulate the behavior or activity of systems, processes, or phenomena. They include the use of mathematical equations, computers, and other electronic equipment. Experimental Model,Experimental Models,Mathematical Model,Model, Experimental,Models (Theoretical),Models, Experimental,Models, Theoretic,Theoretical Study,Mathematical Models,Model (Theoretical),Model, Mathematical,Model, Theoretical,Models, Mathematical,Studies, Theoretical,Study, Theoretical,Theoretical Model,Theoretical Models,Theoretical Studies
D010455 Peptides Members of the class of compounds composed of AMINO ACIDS joined together by peptide bonds between adjacent amino acids into linear, branched or cyclical structures. OLIGOPEPTIDES are composed of approximately 2-12 amino acids. Polypeptides are composed of approximately 13 or more amino acids. PROTEINS are considered to be larger versions of peptides that can form into complex structures such as ENZYMES and RECEPTORS. Peptide,Polypeptide,Polypeptides
D011485 Protein Binding The process in which substances, either endogenous or exogenous, bind to proteins, peptides, enzymes, protein precursors, or allied compounds. Specific protein-binding measures are often used as assays in diagnostic assessments. Plasma Protein Binding Capacity,Binding, Protein
D000906 Antibodies Immunoglobulin molecules having a specific amino acid sequence by virtue of which they interact only with the ANTIGEN (or a very similar shape) that induced their synthesis in cells of the lymphoid series (especially PLASMA CELLS).
D000939 Epitopes Sites on an antigen that interact with specific antibodies. Antigenic Determinant,Antigenic Determinants,Antigenic Specificity,Epitope,Determinant, Antigenic,Determinants, Antigenic,Specificity, Antigenic
D001435 Bacteriophages Viruses whose hosts are bacterial cells. Phages,Bacteriophage,Phage

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