PreprintCited by 4Protein Structure and DynamicsComputational Drug Discovery MethodsNanoparticle-Based Drug Delivery

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Statistical Survey of Chemical and Geometric Patterns on Protein Surfaces as a Blueprint for Protein-mimicking Nanoparticles

Open access
McBride, John M., Koshevarnikov, Aleksei, Siek, Marta, Grzybowski, Bartosz A., Tlusty, Tsvi·2024·Small Structures

Preprint — published as 10.1002/sstr.202400086

Abstract

Despite recent breakthroughs in understanding how protein sequence relates to structure and function, considerably less attention has been paid to the general features of protein surfaces beyond those regions involved in binding and catalysis. This paper provides a systematic survey of the universe of protein surfaces and quantifies the sizes, shapes, and curvatures of the positively/negatively charged and hydrophobic/hydrophilic surface patches as well as correlations between such patches. It then compares these statistics with the metrics characterizing nanoparticles functionalized with ligands terminated with positively and negatively charged ligands. These particles are of particular interest because they are also surface-patchy and have been shown to exhibit both antibiotic and anticancer activities – via selective interactions against various cellular structures – prompting loose analogies to proteins. Our analyses support such analogies in several respects (e.g., patterns of charged protrusions and hydrophobic niches similar to those observed in proteins), although there are also significant differences. Looking forward, this work provides a blueprint for the rational design of synthetic nanoobjects with further enhanced mimicry of proteins’ surface properties.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1101/2024.07.18.604221

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 130

  1. 2019, The Pfam Protein Families Database in 2019, Nucleic Acids Res, 47, 427, 10.1093/nar/gky995 · DOI · Paper page
  2. 10.1186/1479-7364-4-3-207 · DOI
  3. 10.1093/nar/gkaa1100 · DOI · Paper page
  4. 10.1093/nar/28.1.235 · DOI · Paper page
  5. 2020, The SCOP Database in 2020: Expanded Classification of Representative Family and Superfamily Domains of Known Protein Structures, Nucleic Acids Res, 48, 376, 10.1093/nar/gkz1064 · DOI
  6. Kessel, A. ; Ben-Tal, N. Introduction to Proteins: Structure, Function, and Motion; CRC Press, 2010. · DOI
  7. 10.1088/1742-5468/ad1be7 · DOI
  8. 10.1038/75556 · DOI · Paper page
  9. 10.1126/science.abj8754 · DOI · Paper page
  10. 10.1103/PhysRevLett.131.218401 · DOI · Paper page
  11. Mcbride, J. M. ; Tlusty, T. AI-Predicted Protein Deformation Encodes Energy Landscape Perturbation. ArXiv Prepr. ArXiv231118222 2023. · DOI
  12. 10.1038/nature19946 · DOI · Paper page
  13. 10.1017/S0033583500005746 · DOI
  14. 10.1002/pro.5560070905 · DOI · Paper page
  15. 2006, CASTp: Computed Atlas of Surface Topography of Proteins with Structural and Topographical Mapping of Functionally Annotated Residues, Nucleic Acids Res, 34, 116, 10.1093/nar/gkl282 · DOI · Paper page
  16. 10.1007/s10930-007-9108-x · DOI
  17. 10.1038/nrd.2016.29 · DOI · Paper page
  18. 2021, Structural motifs in protein cores and at protein–protein interfaces are different, Protein Sci, 30, 381, 10.1002/pro.3996 · DOI
  19. 10.1038/nature05981 · DOI
  20. 2020, Deciphering Interaction Fingerprints from Protein Molecular Surfaces Using Geometric Deep Learning, Nat Methods, 17, 184, 10.1038/s41592-019-0666-6 · DOI
  21. 10.1093/molbev/msac217 · DOI
  22. 10.1073/pnas.0802460105 · DOI
  23. 2014, A Sequence-Specific Transcription Activator Motif and Powerful Synthetic Variants That Bind Mediator Using a Fuzzy Protein Interface, Proc Natl Acad Sci, 111, 3506
  24. 10.1016/j.febslet.2015.07.022 · DOI
  25. 10.1021/acs.jpclett.9b00099 · DOI
  26. 10.1073/pnas.1917569117 · DOI
  27. Ulmschneider, M. B. ; Sansom, M. S. P. Amino acid distributions in integral membrane protein structures. Biochim Biophys Acta - Biomembr 1512, 1–14. · DOI
  28. 2020, Protein Electrostatics: From Computational and Structural Analysis to Discovery of Functional Fingerprints and Biotechnological Design, Comput Struct Biotechnol J, 18, 1774, 10.1016/j.csbj.2020.06.029 · DOI
  29. 2018, Large-Scale Aggregation Analysis of Eukaryotic Proteins Reveals an Involvement of Intrinsically Disordered Regions in Protein Folding, Sci Rep, 8, 678, 10.1038/s41598-017-18977-5 · DOI
  30. Hebditch, M. ; Warwicker, J. Web-Based Display of Protein Surface and pH-Dependent Properties for Assessing the Developability of Biotherapeutics. Sci Rep 1969, 9. · DOI
  31. 2020, Effect of Protein Surface Charge Distribution on Protein–Polyelectrolyte Complexation, Biomacromolecules, 21, 3026, 10.1021/acs.biomac.0c00346 · DOI
  32. 10.1073/pnas.79.10.3236 · DOI
  33. 10.1016/j.tibs.2016.08.013 · DOI
  34. 10.1021/acs.chemrev.8b00753 · DOI
  35. 10.1016/j.sbi.2019.11.004 · DOI
  36. 10.1371/journal.pone.0000468 · DOI
  37. 10.1016/j.cell.2013.03.032 · DOI · Paper page
  38. 10.1016/j.molcel.2010.10.020 · DOI
  39. 10.3389/fimmu.2019.00133 · DOI
  40. 10.1073/pnas.81.1.140 · DOI
  41. 10.1002/bip.360250913 · DOI
  42. 10.1002/bip.360330107 · DOI
  43. 1995, Computation of the Dipole Moments of Proteins, Biophys J, 69, 1344, 10.1016/S0006-3495(95)80001-9 · DOI
  44. 10.1002/pro.5560050821 · DOI
  45. 1996, Hydrophobic Patches on the Surfaces of Protein Structures, Proteins Struct Funct Bioinforma, 25, 389, 10.1002/(SICI)1097-0134(199607)25:3<389::AID-PROT10>3.0.CO;2-E · DOI
  46. 1999, Spatial Sign-Alternating Charge Clusters in Globular Proteins, Protein Eng Sel, 12, 101, 10.1093/protein/12.2.101 · DOI
  47. Nicolau, D. V. ; Paszek, E. ; Fulga, F. ; Nicolau, D. V. Protein Molecular Surface Mapped at Different Geometrical Resolutions. PLoS One 2013, 8. · DOI
  48. 10.1371/journal.pone.0089680 · DOI · Paper page
  49. 10.1016/j.ijpharm.2010.02.025 · DOI
  50. 2016, Electrostatic Titrations Reveal Surface Compositions of Mixed, On-Nanoparticle Monolayers Comprising Positively and Negatively Charged Ligands, J Phys Chem C, 120, 4139, 10.1021/acs.jpcc.5b12599 · DOI
  51. 2013, Controlled pH Stability and Adjustable Cellular Uptake of Mixed-Charge Nanoparticles, J Am Chem Soc, 2, 1
  52. 2020, pH-Responsive Nanoparticles for Selective Interactions with Cells, Organelles, and Bacteria. Acc. Mater Res, 1, 188, 10.1021/accountsmr.0c00041 · DOI
  53. 2016, Self-Assembly of like-Charged Nanoparticles into Microscopic Crystals, Nanoscale, 8, 157, 10.1039/C5NR06983A · DOI
  54. 2016, Engineering Gram Selectivity of Mixed-Charge Gold Nanoparticles by Tuning the Balance of Surface Charges, Angew Chem. Int Ed, 55, 8610, 10.1002/anie.201602965 · DOI
  55. 2020, Targeted Crystallization of Mixed-Charge Nanoparticles in Lysosomes Induces Selective Death of Cancer Cells, Nat Nanotechnol, 15, 331, 10.1038/s41565-020-0643-3 · DOI
  56. 1999, Asparagine and Glutamine: Using Hydrogen Atom Contacts in the Choice of Side-Chain Amide orientation11Edited by J, Thornton J Mol Biol, 285, 1735
  57. 10.1093/nar/gkm276 · DOI
  58. 10.1002/(SICI)1097-0282(199603)38:3<305::AID-BIP4>3.0.CO;2-Y · DOI
  59. 10.1002/pro.3280 · DOI
  60. 10.1016/S0022-2836(03)00021-4 · DOI
  61. 10.1016/0022-2836(82)90515-0 · DOI
  62. Rego, N. B. ; Xi, E. ; Patel, A. J. Identifying Hydrophobic Protein Patches to Inform Protein Interaction Interfaces. Proc Natl Acad Sci 2021, 118. · DOI
  63. 10.1073/pnas.1910225116 · DOI
  64. 10.1016/j.bpj.2021.11.024 · DOI
  65. 10.1093/nar/gkaa1100 · DOI · Paper page
  66. 10.1038/s41598-018-28948-z · DOI
  67. 10.1093/molbev/msw046 · DOI
  68. 10.1007/BF01386390 · DOI
  69. Allen, M. P. ; Tildesley, D. J. Computer Simulation of Liquids, Second edition.; Oxford University Press: Oxford, 2017. · DOI · Paper page
  70. 10.1016/j.softx.2015.06.001 · DOI · Paper page
  71. 10.1093/nar/gkab1061 · DOI · Paper page
  72. 10.1021/acscatal.8b01323 · DOI
  73. 10.1002/jcc.20161 · DOI
  74. 10.1021/ja00124a002 · DOI
  75. 10.1021/jp801931d · DOI
  76. 10.1002/jcc.20290 · DOI · Paper page
  77. 10.1110/ps.03431704 · DOI
  78. 10.1016/0022-2836(87)90038-6 · DOI
  79. 10.1002/jmr.534 · DOI
  80. 10.1073/pnas.95.11.5942 · DOI
  81. 10.1371/journal.pcbi.1006858 · DOI
  82. 10.1016/0263-7855(83)80001-0 · DOI
  83. 2009, Size, Shape, and Flexibility of Proteins and DNA, J Chem Phys, 131, 165104, 10.1063/1.3251769 · DOI
  84. 2014, How round is a protein? Exploring protein structures for globularity using conformal mapping, Front Mol Biosci, 1, 26
  85. 10.1021/jp037128y · DOI
  86. 2019, Evolutionary Drivers of Protein Shape, Sci Rep, 9, 11873, 10.1038/s41598-019-47337-8 · DOI
  87. 10.1021/ja108154a · DOI
  88. 10.1016/j.trechm.2019.02.006 · DOI
  89. 10.1021/jacs.1c03939 · DOI
  90. 10.1039/D1SC05933E · DOI
  91. 10.1002/adma.202201562 · DOI
  92. 10.1021/jacs.2c06848 · DOI
  93. 2021, On-Nanoparticle Gating Units Render an Ordinary Catalyst Substrate- And Site-Selective, J Am Chem Soc, 143, 1807, 10.1021/jacs.0c09408 · DOI
  94. 10.1039/D2NR06341G · DOI
  95. 10.1038/nmat1116 · DOI
  96. 10.1103/PhysRevLett.99.226106 · DOI
  97. 10.1038/s41467-018-03699-7 · DOI
  98. 10.1146/annurev-biochem-060614-033955 · DOI · Paper page
  99. 10.1146/annurev-biochem-060208-092442 · DOI
  100. 10.1002/smll.200900358 · DOI
  101. 2002, Thermal Stability of Self-Assembled Monolayers: Influence of Lateral Hydrogen Bonding, J Phys Chem B, 106, 10401, 10.1021/jp0200526 · DOI
  102. 2012, Measuring the Activation Energy of Thiol Desorption Using Lateral Force Microscopy, Scanning, 34, 200, 10.1002/sca.20293 · DOI
  103. 10.1007/s00018-011-0852-x · DOI
  104. 10.1021/ja406089c · DOI
  105. 10.1002/marc.201900096 · DOI
  106. 10.1021/acs.chemrev.0c00428 · DOI
  107. 10.1021/acs.macromol.0c02826 · DOI
  108. 10.1016/j.jcis.2021.09.080 · DOI
  109. 10.1103/RevModPhys.91.031001 · DOI
  110. 10.1073/pnas.1716215115 · DOI
  111. 10.1073/pnas.1609462113 · DOI
  112. 2017, Physical Model of the Genotype-to-Phenotype Map of Proteins, Phys Rev X, 7, 021037
  113. 10.1098/rsta.2015.0070 · DOI
  114. 10.1002/bies.202100062 · DOI
  115. 10.1038/nrg2662 · DOI · Paper page
  116. 10.1016/j.plrev.2010.06.002 · DOI
  117. 10.1016/j.jtbi.2007.07.029 · DOI
  118. 10.1126/sciadv.abf1410 · DOI
  119. 10.1021/acs.chemrev.7b00194 · DOI
  120. 10.1002/smll.201101882 · DOI
  121. 10.1073/pnas.2403049121 · DOI
  122. 10.1515/BC.2000.109 · DOI
  123. 10.1126/science.1250494 · DOI · Paper page
  124. 10.1016/j.tibs.2015.07.009 · DOI
  125. 10.1073/pnas.0805135105 · DOI
  126. 10.1002/wnan.1788 · DOI
  127. 10.2147/IJN.S36111 · DOI
  128. 2014, Fabrication of Corona-Free Nanoparticles with Tunable Hydrophobicity, ACS Nano, 8, 6748, 10.1021/nn5006478 · DOI
  129. 2016, Striped Gold Nanoparticles: New Insights from Molecular Dynamics Simulations, J Chem Phys, 144, 244710, 10.1063/1.4954980 · DOI
  130. 2011, Nanoscale Phase Segregation of Mixed Thiolates on Gold Nanoparticles, Angew Chem. - Int Ed, 50, 10554, 10.1002/anie.201102882 · DOI

Metadata

Authors
McBride, J. M., Koshevarnikov, A., Siek, M., Grzybowski, B. A., & Tlusty, T.
Affiliations
  • Institute for Basic Science (KR)
  • Institute of Organic Chemistry (PL)
Corresponding author
  • McBride, John M.
  • Grzybowski, Bartosz A.
  • Tlusty, Tsvi
Venue
Small Structures
Publisher
openRxiv
Published
2024-07-19
Volume
5
Issue
9
ISSN
2688-4062 (ISSN-L)
OpenAlex
W4401870761
Cited by
4
References
1
Citations by year
2026: 1 · 2025: 3
FWCI
0.54
Type
journal article
Language
en
Open access
Locations
  • Small Structures (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nd)
  • arXiv (Cornell University) (submittedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • arXiv (Cornell University)
Funders
  • Korea Basic Science Institute (IBS-R020)
  • Institute for Basic Science (IBS-R-020, IBS-R-020-D1, R020-D1)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Computational Drug Discovery Methods
  • Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
Keywords
protein surface, surface patches, hydrophobic patch, surface curvature, nanoparticle functionalization, ligand-functionalized nanoparticles, antibiotic activity, anticancer activity

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