Protein binders including antibodies are known not to bind to random sites of target proteins, and their functional effectiveness mainly depends on the binding region, called the epitope. For the development of protein binders with desired functions, it is thus critical to understand which surface region protein binders prefer (or do not prefer) to bind. The current methods for epitope prediction focus on static indicators such as structural geometry or amino acid propensity, whereas protein binding events are in fact a consequence of dynamic interactions. Here, we demonstrate that the preference for a binding site by protein binders is strongly related to the structural flexibility of a target protein surface. Molecular dynamics simulations on unbound forms of antigen structures revealed that the antigen surface in direct contact with antibodies is less flexible than the rest of the surface. This tendency was shown to be similar in other non-antibody protein binders such as affibody, DARPin, monobody, and repebody. We also found that the relatedness of epitopes to the structural flexibility of a target protein surface is dependent on the secondary structure elements of paratopes. Monobody and repebody, whose binding sites are composed of β-strands, distinctively prefer to bind to a relatively more rigid region of a target protein. These observations enabled us to develop a simple epitope prediction method which shows a comparable performance to the commonly used ones.
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http://dx.doi.org/10.1021/acs.jcim.0c01397 | DOI Listing |
Comput Struct Biotechnol J
December 2024
Department of Medicinal Chemistry, Institute of Pharmacy, Martin-Luther-University of Halle-Wittenberg, Halle (Saale) 06120, Germany.
Reliable in silico prediction of fragment binding modes remains a challenge in current drug design research. Due to their small size and generally low binding affinity, fragments can potentially interact with their target proteins in different ways. In the current study, we propose a workflow aimed at predicting favorable fragment binding sites and binding poses through multiple short molecular dynamics simulations.
View Article and Find Full Text PDFNature
January 2025
Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, Ecole polytechnique fédérale de Lausanne, Lausanne, Switzerland.
Molecular recognition events between proteins drive biological processes in living systems. However, higher levels of mechanistic regulation have emerged, in which protein-protein interactions are conditioned to small molecules. Despite recent advances, computational tools for the design of new chemically induced protein interactions have remained a challenging task for the field.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Department of Stomatology, China-Japan Union Hospital of Jilin University, Changchun 130033, China. Electronic address:
This study explored a novel modification method for porous polyetheretherketone (PEEK) implants using a biomimetic coating to achieve synergistic enhancement of vascularization and bone regeneration. Inspired by the natural extracellular matrix (ECM) structure (consists of growth factors and matrix proteins), a biomimetic dual-factor coating capable of releasing bone morphogenetic protein-2 (BMP-2) and fibronectin (FN) was coated on the surface of 3D-printed porous PEEK scaffolds using polydopamine (PDA) as a binder. Experiments conducted with MC3T3-E1 cells or HUVECs in co-culture with scaffolds revealed that the biomimetic coating not only synergically promoted cell migration, adhesion and proliferation, but also enhanced angiogenesis and osteogenic differentiation simultaneously in vivo.
View Article and Find Full Text PDFACS Med Chem Lett
January 2025
Bristol Myers Squibb, 10300 Campus Point Drive, Suite 100, San Diego, California 92121, United States.
In recent years, targeted protein degradation (TPD) has emerged as a powerful therapeutic modality utilizing both heterobifunctional ligand-directed degraders (LDDs) and molecular glues (e.g., CELMoDs) to recruit E3 ligases for inducing polyubiquitination and subsequent proteasomal degradation of target proteins.
View Article and Find Full Text PDFJ Cheminform
January 2025
Oxford Protein Informatics Group, Department of Statistics, University of Oxford, Oxford, UK.
Current strategies centred on either merging or linking initial hits from fragment-based drug design (FBDD) crystallographic screens generally do not fully leaverage 3D structural information. We show that an algorithmic approach (Fragmenstein) that 'stitches' the ligand atoms from this structural information together can provide more accurate and reliable predictions for protein-ligand complex conformation than general methods such as pharmacophore-constrained docking. This approach works under the assumption of conserved binding: when a larger molecule is designed containing the initial fragment hit, the common substructure between the two will adopt the same binding mode.
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