The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.
Structural Basis of Epitope Recognition by Heavy-Chain Camelid Antibodies
Abstract
Truncated versions of heavy-chain antibodies (HCAbs) from camelids, also termed nanobodies, comprise only one-tenth the mass of conventional antibodies, yet retain similar, high binding affinities for the antigens. Here we analyze a large data set of nanobody-antigen crystal structures and investigate how nanobody-antigen recognition compares to the one by conventional antibodies. We find that nanobody paratopes are enriched in aromatic residues just like conventional antibodies, but additionally, they also bear a more hydrophobic character. Most striking differences were observed in the characteristics of the antigen's epitope. Unlike conventional antibodies, nanobodies bind to more rigid, concave, conserved and structured epitopes enriched with aromatic residues. Nanobodies establish fewer interactions with the antigens compared to conventional antibodies, and we speculate that high binding affinities are achieved due to less unfavorable conformational and more favorable solvation entropy contributions. We observed that interactions with antigen are mediated not only by three CDR loops but also by numerous residues from the nanobody framework. These residues are not distributed uniformly; rather, they are concentrated into four structurally distinct regions and mediate mostly charged interactions. Our findings suggest that in some respects nanobody-antigen interactions are more similar to the general protein-protein interactions rather than antibody-antigen interactions.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The extended CDR3 loop of nanobodies has the capacity to form a finger-like structure with greater structural flexibility which, in turn, is likely fixed in one single conformation upon antigen-binding [14,15].”
From Evolution of Escherichia coli Expression System in Producing Antibody Recombinant Fragments (2020) · cites this paper as [14]
Citations
Cites
Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
Rousseeuw, P. J. (1987) · Journal of Computational and Applied Mathematics · doi:10.1016/0377-0427(87)90125-7 · Cited by 21,392
Kabsch, W., & Sander, C. (1983) · Biopolymers · doi:10.1002/bip.360221211 · Cited by 15,320
Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences
Li, W.-Z., & Godzik, A. (2006) · Bioinform. · doi:10.1093/bioinformatics/btl158 · Cited by 10,996
Biopython: freely available python tools for computational molecular biology and bioinformatics
Cock, P. J. A., Antao, T., Chang, J. T., Chapman, B. A., Cox, C. J., Dalke, A., Friedberg, I., Hamelryck, T., Kauff, F., Wilczynski, B., et al. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp163 · Cited by 6,080
Biometry: The Principles and Practice of Statistics in Biological Research
Campbell, R. C., Sokal, R. R., & Rohlf, F. J. (1970) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2343822 · Cited by 3,972
Prediction of protein antigenic determinants from amino acid sequences.
Hopp, T. P., & Woods, K. R. (1981) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.78.6.3824 · Cited by 3,726
Naturally occurring antibodies devoid of light chains
Hamers-Casterman, C., Atarhouch, T., Muyldermans, S., Robinson, G., Hammers, C., Songa, E. B., Bendahman, N., & Hammers, R. (1993) · Nature · doi:10.1038/363446a0 · Cited by 3,241
Ashkenazy, H., Abadi, S., Martz, E., Chay, O., Mayrose, I., Pupko, T., & Ben-Tal, N. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw408 · Cited by 3,163
Nanobodies: natural single-domain antibodies
Muyldermans, S. (2013) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-063011-092449 · Cited by 2,304
Structure and function of immunoglobulins
Schroeder, H. W., & Cavacini, L. A. (2010) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2009.09.046 · Cited by 2,143
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–162 of 162
Zhao, Z., Yang, Q., Liu, X., Li, M., Duan, Y., Du, M., Zhou, A., Liu, H., He, Y., Wang, W., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-62023-2 · Cited by 5
Facile Affinity Maturation of Single-Domain Antibodies Using Next-Generation DNA Sequencing
Lowden, M. J., van Faassen, H., Raphael, S., Ryan, S., Hussack, G., & Henry, K. A. (2022) · Methods in molecular biology · doi:10.1007/978-1-0716-2075-5_12 · Cited by 5
Extract-Shaped Immune Repertoires as Source for Nanobody-Based Human IgE in Grass Pollen Allergy
Aagaard, J. B., Fischer, M., Lober, J., Neumann, F. B., Allahverdi, D., Sivelle, C., Miehe, M., & Spillner, E. (2023) · Molecular Biotechnology · doi:10.1007/s12033-023-00664-8 · Cited by 5
Reviving a Classic Antigen with a Cutting-Edge Approach: Nanobodies for HER2+ Breast Cancer
Castrignano, C., Scipio, F. D., Franco, F., Mognetti, B., & Berta, G. N. (2023) · Pharmaceuticals · doi:10.3390/ph16060794 · Cited by 5
Expanding the Anti-Phl p 7 Antibody Toolkit: An Anti-Idiotype Nanobody Inhibitor
Vester, S. K., Davies, A. M., Beavil, R. L., Sandhar, B. S., Beavil, A. J., Gould, H. J., Sutton, B. J., & McDonnell, J. M. (2023) · Antibodies · doi:10.3390/antib12040075 · Cited by 5
Phage display-derived alpaca nanobodies as potential therapeutics for Naja atra snake envenomation
Wang, W.-C., Chang, J., Lee, C., Chiang, L.-C., Leu, S., Mao, Y., Chiang, J.-R., Yang, C.-K., Wu, C., & Yang, Y. (2024) · Applied and Environmental Microbiology · doi:10.1128/aem.00121-24 · Cited by 5
Yokoo, T., Tanabe, A., Yoshida, Y., Caaveiro, J. M. M., Nakakido, M., Ikeda, Y., Fujimura, Y., Matsumoto, M., Entzminger, K. C., Maruyama, T., et al. (2022) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2022.101962 · Cited by 5
Brea, E. J., Baldacci, S., Savage, N. J., Facchinetti, F., Hinchey, C., Chakravarti, S., Mottram, A., Ngo, K. H., Vo, H. V., Leeper, B. A., et al. (2025) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-25-0527 · Cited by 4
A single domain antibody-based Luminex assay for the detection of SARS-CoV-2 in clinical samples
Goldman, E. R., Sugiharto, V. A., Shriver‐Lake, L. C., Garcia, A. M., Wu, S.-J. L., Jenkins, S. A., & Chen, H. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1446095 · Cited by 4
Design of single-domain VHH antibodies to increase the binding activity in SPR amine coupling
Hirao, A., Nagatoishi, S., Ikeuchi, E., Yamawaki, T., Mori, C., Nakakido, M., & Tsumoto, K. (2023) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2023.04.048 · Cited by 4
Statistical Analysis and Tokenization of Epitopes to Construct Artificial Neoepitope Libraries
López‐Martínez, E., Manteca, A., Ferruz, N., & Cortajarena, A. L. (2023) · ACS Synthetic Biology · doi:10.1021/acssynbio.3c00201 · Cited by 3
Characteristics and Genomic Localization of Nurse Shark (Ginglymostoma cirratum) IgNAR
Tang, W., Zheng, K., Sun, S., Zhong, B., Luo, Z., Yang, J., Jia, L., Yang, L., Shang, W., Jiang, X., et al. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252312879 · Cited by 2
Perdiansyah, V. A. M., & Tarigan, S. (2025) · American Journal of Economic and Management Business (AJEMB) · doi:10.58631/ajemb.v4i6.242 · Cited by 2
Yeoh, J. X., Choong, Y. S., & Lim, T. S. (2025) · Protein Expression and Purification · doi:10.1016/j.pep.2025.106857 · Cited by 2
Novel format single-domain antibodies using human VL domain as scaffold
Yan, X., Chen, L., Shen, Y., Miao, F., Zhang, Y., & Zhang, J. (2026) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2026.151940 · Cited by 2
Pais, R., Nagraj, A. K., Gavade, A., Patel, R., Momin, M., Scheele, J., Seiz, W., & Patil, J. (2025) · Human Antibodies · doi:10.1177/10932607241303614 · Cited by 2
Structural Characterization of Nanobodies during Germline Maturation
Seidler, C. A., Kokot, J., Fernández‐Quintero, M. L., & Liedl, K. R. (2023) · Biomolecules · doi:10.3390/biom13020380 · Cited by 2
Combining AI Structure Prediction and Integrative Modeling for Nanobody-Antigen Complexes
Sánchez-Marín, M., Giulini, M., & Bonvin, A. M. J. J. (2026) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.6c01301 · Cited by 2
Chemoenzymatic synthesis of 6′-sialolactose-modified nanobody
Jiang, M. H., Zhao, J., Mei, G., Han, L., Hong, H., Li, D., & Wu, Z. (2022) · Journal of Carbohydrate Chemistry · doi:10.1080/07328303.2022.2055048 · Cited by 2
Medagli, B., Soler, M. A., Zorzi, R. D., & Fortuna, S. (2022) · Methods in molecular biology · doi:10.1007/978-1-0716-2609-2_19 · Cited by 2
Li, Y., & Wang, J. (2023) · Journal of Labelled Compounds and Radiopharmaceuticals · doi:10.1002/jlcr.4069 · Cited by 2
Gomez-Castillo, L., Watanabe, K., Jiang, H., Kang, S., & Gu, L. (2020) · Journal of Visualized Experiments · doi:10.3791/60738 · Cited by 2
Camel-Derived Nanobodies as Potent Inhibitors of New Delhi Metallo-β-Lactamase-1 Enzyme
Abderrazek, R. B., Hamdi, E., Piccirilli, A., Dhaouadi, S., Muyldermans, S., Perilli, M., & Bouhaouala‐Zahar, B. (2024) · Molecules · doi:10.3390/molecules29071431 · Cited by 1
Fan, X., Gong, Y., Liu, W., Lam, K., Xu, S., Xue, S., & Nian, R. (2025) · Chemistry - A European Journal · doi:10.1002/chem.202404431 · Cited by 1
Mansour, A. Y., Omar, A. R., Bejo, M. H., Alitheen, N. B., & Isa, N. M. (2025) · Antonie van Leeuwenhoek · doi:10.1007/s10482-025-02209-2 · Cited by 1
Aagaard, J. B., Gandini, R., Ballegaard, A. R., Jensen, B. K., Dorn, B., Larsen, A. V. B., Lenstrup, A., Sønderholm, M., Miehe, M., Pfützner, W., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-69572-0 · Cited by 1
Nanobody-based targeted cancer therapy and immunotherapy: fear not the future
Guo, M.-D., Liao, R., Wang, M.-Y., Wu, L.-J., & Zhang, Y. (2026) · Acta Pharmacologica Sinica · doi:10.1038/s41401-026-01787-9 · Cited by 1
Frietze, K. K., Anumukonda, K., Padula, L., Strbo, N., & Goldstein, N. I. (2024) · Antibody Therapeutics · doi:10.1093/abt/tbae026 · Cited by 1
Nanobodies in Asthma Therapy: a Promising Frontier in Targeted Respiratory Treatment
Ashique, S., Islam, A., Barakat, M. M., Negi, P., Gupta, G., Singh, S. K., Dua, K., Madheswaran, T., & Chellappan, D. K. (2025) · BioNanoScience · doi:10.1007/s12668-025-02150-8 · Cited by 1
Protein binding assessment of immobilized nanobody using interferometric nanoporous platform
Law, C. S., Revink, J., Lee, J. W., Wang, J., Abell, A. D., Whelan, F., & Santos, A. (2026) · Open Research (University of Surrey) · doi:10.1002/viw.20250182 · Cited by 1
Yamamoto, K., Nagatoishi, S., Nakakido, M., Kuroda, D., & Tsumoto, K. (2024) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2024.149839 · Cited by 1
Epitope-dependent thermodynamic signature of single-domain antibodies against hen egg lysozyme
Akiba, H., Tamura, H., Caaveiro, J. M. M., & Tsumoto, K. (2021) · The Journal of Biochemistry · doi:10.1093/jb/mvab082 · Cited by 1
Study review of camelid and shark antibodies for biomedical and biotechnological applications
Alcivar, E. I. M., & Maily, S. (2021) · Bionatura · doi:10.21931/rb/2021.06.04.31 · Cited by 1
Neutralizing antibody creation technologies: case of SARS-CoV-2
Baklaushev, V. P., Samoilova, E. M., Kuznetsova, S., Ермолаева, Е. В., Yusubalieva, G. M., Анатольевич, К. В., Lipatova, A. V., & Troitsky, A. V. (2022) · Medicine of Extreme Situations · doi:10.47183/mes.2022.049 · Cited by 1
Sumikawa, T., Nakakido, M., Matsunaga, R., Kuroda, D., Nagatoishi, S., & Tsumoto, K. (2024) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2024.105640 · Cited by 2
GeoFlow-V2: A Unified Atomic Diffusion Model for Protein Structure Prediction and De Novo DesignPreprint
BioGeometry Team (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.06.652551 · Cited by 1
Nanobody derivatization for molecular study and perturbation of cancer cell invadopodia
Hebbrecht, T. (2020) · Ghent University Academic Bibliography (Ghent University)
A Nanobody as a Potent Angiogenesis Inhibitor That Targets the Orphan Receptor Tie1Preprint
Meltzer, M., Eliash, N., & Papo, N. (2022) · Research Square · doi:10.21203/rs.3.rs-1330228/v1
Development of an Antigen Detection Kit Capable of Discriminating the Omicron Mutants of SARS-CoV-2
Li, J., Shi, J., Zhou, Z., Yang, B., Cao, J., Cao, Z., Zeng, Q., Hu, Z., & Yang, X. (2023) · Vaccines · doi:10.3390/vaccines11020303
Molekulares Design von Nanobodies als Werkzeuge in der Allergologie: Diagnostik und mehr
Aagaard, J. B., Ballegaard, A. R., Ommen, P., & Spillner, E. (2023) · Allergo Journal · doi:10.1007/s15007-023-5829-1
Structure and Function of Camelid VHH
Xu, J., & Xu, K. Y. (2024) · Elsevier eBooks · doi:10.1016/b978-0-128-24465-4.00039-9
MAGPIX Assay for Influenza A Using Single Domain Antibodies
Goldman, E. R., Sugiharto, V. A., Shriver‐Lake, L. C., Garcia, A. M., Wu, S.-J. L., Jenkins, S. A., & Chen, H. (2024) · Analysis & Sensing · doi:10.1002/anse.202400075
A Label-Free Nanobody-Conjugated Interferometric Protein SensorPreprint
Santos, A., Law, C. S., Revink, J., Lee, J., Wang, J., Abell, A. D., & Whelan, F. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5171194
Li, Y., Cheng, K., Guo, J., Jiang, Y., Kang, Q., Wang, R., Du, P., Gao, C., Yu, Y., Yang, Z., et al. (2025) · Antibodies · doi:10.3390/antib14020048
VHH engineering and utilization for blood-brain barrier transport and anti-infectious diseases
Pérez, J. F., Asano, R., Uto, Y., Tsumoto, K., & Nakakido, M. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-29808-0.00069-8
Nabukhotna, K., Kroh, H. K., Anderson, D. M. W., Rodríguez, R. C., Shupe, J. A., Shubina-McGresham, M., O’Neale, C. V. T., Shrem, R. A., Wadzinski, B. E., Schey, K. L., et al. (2025) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2025.111082
Predicting Nanobody Paratope via Fused Attention Mechanism and Distance-Guided Interaction Learning
Lu, Z., Yang, J., Zhao, W., & Jiang, X. (2025) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm66473.2025.11356589
Démonstration de l’existence des récepteurs mGlu7 hétérodimériques par des approches innovantes
Belkacemi, K. (2024) · theses.fr (ABES) · doi:10.70675/3cb3ca22z041az4ae2z9750zd5bdc5d1dd0d
Ye, Z., Li, X.-Y., & Zhan, M. (2026) · Open Research (University of Surrey) · doi:10.1002/viw.20260027
Rational Design and Characterization of a Mutated Nanobody for Specific Targeting of Heparan Sulfate
Hao, J., Xu, Q., Cui, Y., Wang, W., & Huang, K. (2026) · Antibodies · doi:10.3390/antib15040052
Zhuchkov, V. A., Kruglova, N. A., Kamzeeva, P. N., Siniavin, A. E., Konovalova, E. V., Schulga, A. A., Gulyak, E. L., Sapozhnikova, K. A., Deyev, S. M., Yanvarev, D. V., et al. (2026) · ACS Omega · doi:10.1021/acsomega.6c01932
A neuraminidase-targeted nanobody confers broad protection against influenza B virus
Jia, H., Lin, C., Guo, Y., Cai, W., Guan, R., 朱立宁, Yang, Q., Kong, H., Sun, B., Zhang, Z., et al. (2026) · Journal of Virology · doi:10.1128/jvi.00762-26
Cao, C., Sun, F., Jin, Z., Hou, Y., Gao, J., Zhao, Q., He, Y. U. E. J. I., Zhang, Y., & Cui, Y. (2026) · Microchemical Journal · doi:10.1016/j.microc.2026.119080
Integrating AlphaFold2 with physics-based ensemble docking for high-efficiency nanobody discovery
Guo, Y. Q., Guan, R., Jin, L., Zhang, J., Wu, W., Sun, R., Li, B., Cao, R., Jia, H., Liu, L., et al. (2026) · Chemical Science · doi:10.1039/d6sc01422d
AVIDbase : A biologically accurate structural dataset of nanobody‐antigen complexes
Medved, T., Lah, J., Miličić, G., & Hadži, S. (2026) · Protein Science · doi:10.1002/pro.70773
Self-citationCamelid VHHs as a Versatile Platform for Combating Viral Infections
Mufrrih, M., & Alandijany, T. A. (2026) · Pharmaceuticals · doi:10.3390/ph19091408
Leonard, S. E. W., Wasdin, P. T., Webb, K., Amlashi, P., Renken, C., Rathmell, J. C., Spiller, B. W., Wadzinski, B. E., Crowe, J. E., Georgiev, I. S., et al. (2026) · Cell Reports Methods · doi:10.1016/j.crmeth.2026.101605
Convergent strategies for nanobody-mediated inhibition of an epoxide hydrolase
Simard, A. R., Taher, N. M., Beauchemin, K. S., Mishra, A. K., Hederman, A. P., Hampton, T. H., Vasylieva, N., Morisseau, C. H. P., Ackerman, M. E., & Madden, D. R. (2026) · Journal of Structural Biology X · doi:10.1016/j.yjsbx.2026.100166
Wang, D., Yu, R., Zhang, L., 张中旺, Zhou, P., Guo, H., 李秀英, Lan, X., Song, C., Ju, J., et al. (2026) · Journal of Virological Methods · doi:10.1016/j.jviromet.2026.115480
Nanobody engineering for next-generation therapeutics
Handa, T., Agarwal, V., Kumar, R., Singla, J., & Tomar, S. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-44536-1.00016-x
Metadata
- Authors
- Zavrtanik, U., Lukan, J., Loris, R., Lah, J., & Hadži, S.
- Affiliations
- University of Ljubljana (SI)
- Statistical Office of the Republic of Slovenia (SI)
- Vrije Universiteit Brussel (BE)
- Corresponding author
- Hadži, San
- Venue
- Journal of Molecular Biology
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 430
- Issue
- 21
- Pages
- 4369-4386
- ISSN
- 0022-2836 (ISSN-L)
- OpenAlex
- W2891129333
- Cited by
- 169
- References
- 87
- Citations by year
- 2026: 21 · 2025: 25 · 2024: 26 · 2023: 30 · 2022: 22 · 2021: 19 · 2020: 12 · 2019: 14
- FWCI
- 7.76
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Molecular Biology (publishedVersion)
- PubMed (publishedVersion)
- VUBIR (Vrije Universiteit Brussel) (submittedVersion)
- Funders
- Slovenian Research Agency (P1-0201)
- Onderzoeksraad of the Vrije Universiteit Brussel (SPR13)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › Monoclonal and Polyclonal Antibodies Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Enzyme Structure and Function
- Keywords
- nanobodies, heavy-chain antibodies, camelid antibodies, epitope recognition, antibody binding sites, aromatic residues, hydrophobic interactions, CDR loops, binding affinity, solvation entropy, protein-protein interaction, crystal structure
- MeSH terms
- Camelidae, Animals, Epitopes, Binding Sites, Binding Sites, Antibody, Camelids, New World, Immunoglobulin Heavy Chains, Models, Molecular, Protein Binding, Crystallography, X-Ray, Single-Domain Antibodies
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review