How Big Is Too Big for Cell Permeability?
Open accessAbstract
Understanding how to design cell permeable ligands for intracellular targets that have difficult binding sites, such as protein-protein interactions, would open vast opportunities for drug discovery. Interestingly, libraries of cyclic peptides displayed a steep drop-off in membrane permeability at molecular weights above 1000 Da and it appears likely that this cutoff constitutes an upper size limit also for more druglike compounds. However, chemical space from 500 to 1000 Da remains virtually unexplored and represents a vast opportunity for those prepared to venture into new territories of drug discovery.
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In drug development, 500 Da is often quoted as the maximum molecular weight parameter, but molecules with higher molecular weights can be absorbed, and the limits of oral bioavailability appear to extend to about MW ≤ 1000 Da.
“In the development of new drugs, 500 Da is often quoted as the maximum molecular weight parameter. However, it has been observed that molecules with higher molecular weights are also capable of being absorbed, and the limits of oral bioavailability appear to extend to about MW ≤ 1000 Da [70,71,72].”
From The EU’s Per- and Polyfluoroalkyl Substances (PFAS) Ban: A Case of Policy over Science (2023) · cites this paper as [72]
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Small molecules, big targets: drug discovery faces the protein–protein interaction challenge
Scott, D. E., Bayly, A. R., Abell, C., & Skidmore, J. (2016) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2016.29 · Cited by 1,137 · see citing works
Oral Druggable Space beyond the Rule of 5: Insights from Drugs and Clinical Candidates
Doak, B. C., Over, B., Giordanetto, F., & Kihlberg, J. (2014) · Chemistry & Biology · doi:10.1016/j.chembiol.2014.08.013 · Cited by 835 · see citing works
Self-citationPolar Molecular Surface Properties Predict the Intestinal Absorption of Drugs in Humans
Palm, K., Stenberg, P., Luthman, K., & Artursson, P. (1997) · Pharmaceutical Research · doi:10.1023/a:1012188625088 · Cited by 762 · see citing works
A Call for Systematic Research on Solute Carriers
César‐Razquin, A., Snijder, B., Frappier‐Brinton, T., Isserlin, R., Gyimesi, G., Bai, X., Reithmeier, R. A., Hepworth, D., Hediger, M. A., Edwards, A. M., et al. (2015) · Cell · doi:10.1016/j.cell.2015.07.022 · Cited by 578 · see citing works
Lundquist, P., & Artursson, P. (2016) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2016.07.007 · Cited by 490 · see citing works
How Beyond Rule of 5 Drugs and Clinical Candidates Bind to Their Targets
Doak, B. C., Zheng, J., Dobritzsch, D., & Kihlberg, J. O. (2015) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.5b01286 · Cited by 345 · see citing works
Self-citationCell permeability beyond the rule of 5
Matsson, P., Doak, B. C., Over, B., & Kihlberg, J. O. (2016) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2016.03.013 · Cited by 300 · see citing works
Self-citationDiscovery and Mechanism of Highly Efficient Cyclic Cell-Penetrating Peptides
Qian, Z., Martyna, A., Hard, R. L., Wang, J., Appiah‐Kubi, G., Coss, C. C., Phelps, M. A., Rossman, J. S., & Pei, D. (2016) · Biochemistry · doi:10.1021/acs.biochem.6b00226 · Cited by 298 · see citing works
Quantifying the chameleonic properties of macrocycles and other high-molecular-weight drugs
Whitty, A., Zhong, M., Viarengo‐Baker, L. A., Beglov, D., Hall, D. R., & Vajda, S. (2016) · Drug Discovery Today · doi:10.1016/j.drudis.2016.02.005 · Cited by 286 · see citing works
Summa, V., Ludmerer, S. W., McCauley, J. A., Fandozzi, C. M., Burlein, C., Giuliano, C., Coleman, P. J., DiMuzio, J. M., Ferrara, M., Filippo, M. D., et al. (2012) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.00324-12 · Cited by 260 · see citing works
Structural and conformational determinants of macrocycle cell permeability
Over, B., Matsson, P., Tyrchan, C., Artursson, P., Doak, B. C., Foley, M. A., Hilgendorf, C., Johnston, S. E., Lee, M. D., Lewis, R. J., et al. (2016) · Nature Chemical Biology · doi:10.1038/nchembio.2203 · Cited by 209 · see citing works
Self-citationPye, C. R., Hewitt, W. M., Schwochert, J. A., Haddad, T. D., Townsend, C. E., Etienne, L., Lao, Y., Limberakis, C., Furukawa, A., Mathiowetz, A. M., et al. (2017) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.6b01483 · Cited by 154 · see citing works
Desai, P. V., Sawada, G. A., Watson, I. A., & Raub, T. J. (2013) · Molecular Pharmaceutics · doi:10.1021/mp300555n · Cited by 98 · see citing works
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Marei, H., Tsai, W.-T. K., Kee, Y.-S., Ruiz, K., He, J., Cox, C., Sun, T., Penikalapati, S., Dwivedi, P., Choi, M., et al. (2022) · Nature · doi:10.1038/s41586-022-05235-6 · Cited by 273 · see citing works
Verma, S., Goand, U. K., Husain, A., Katekar, R. A., Garg, R., & Gayen, J. R. (2021) · Drug Development Research · doi:10.1002/ddr.21832 · Cited by 151 · see citing works
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Klein, V. G., Bond, A. G., Craigon, C., Lokey, R. S., & Ciulli, A. (2021) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.1c01496 · Cited by 152 · see citing works
Foley, C. A., Potjewyd, F., Lamb, K. N., James, L. I., & Frye, S. V. (2020) · ACS Chemical Biology · doi:10.1021/acschembio.9b00972 · Cited by 89 · see citing works
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- Authors
- Matsson, P., & Kihlberg, J.
- Affiliations
- Uppsala University (SE)
- Corresponding author
- Kihlberg, Jan
- Venue
- Journal of Medicinal Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-02-24
- Volume
- 60
- Issue
- 5
- Pages
- 1662-1664
- ISSN
- 0022-2623 (ISSN-L)
- 1520-4804
- OpenAlex
- W2590560529
- Cited by
- 303
- References
- 13
- Citations by year
- 2026: 44 · 2025: 37 · 2024: 40 · 2023: 48 · 2022: 44 · 2021: 39 · 2020: 22 · 2019: 8 · 2018: 13 · 2017: 8
- FWCI
- 10.87
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Medicinal Chemistry (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chemical Synthesis and Analysis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Interference and Gene Delivery
- Keywords
- membrane permeability, molecular weight, cyclic peptides, protein-protein interaction, drug-like molecules, chemical space
- MeSH terms
- Cell Membrane Permeability, Humans, Molecular Weight
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