Novel drug targets in 2020
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Claims the paper makes
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Analysis of novel MoA drug targets published annually in Nature Reviews Drug Discovery with data pulled from DrugCentral shows, on average, an enrichment rate of 15 novel drug targets per year.
“The analysis of novel MoA drug targets (targets that an approved drug had not previously perturbed) published annually in the Nature Reviews Drug Discovery series (33,34,41,42) with data pulled from DrugCentral, shows, on average, an enrichment rate of 15 novel drug targets per year”
From DrugCentral 2023 extends human clinical data and integrates veterinary drugs (2023) · cites this paper as [41]
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Sorted by citations
DrugCentral 2023 extends human clinical data and integrates veterinary drugs
Avram, S., Wilson, T. B., Curpan, R., Halip, L., Borota, A., Bora, A., Bologa, C. G., Holmes, J., Knockel, J., Yang, J. J., et al. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkac1085 · Cited by 101 · see citing works
“The analysis of novel MoA drug targets (targets that an approved drug had not previously perturbed) published annually in the Nature Reviews Drug Discovery series (33,34,41,42) with data pulled from DrugCentral, shows, on average, an enrichment rate of 15 novel drug targets per year (some of the data overlap with Tabl…”
BackgroundSelf-citationAn Overview of Cell-Based Assay Platforms for the Solute Carrier Family of Transporters
Dvorak, V., Wiedmer, T., Inglés‐Prieto, Á., Altermatt, P., Batoulis, H., Bärenz, F., Bender, E., Digles, D., Dürrenberger, F., Heitman, L. H., et al. (2021) · Frontiers in Pharmacology · doi:10.3389/fphar.2021.722889 · Cited by 69 · see citing works
“Among the novel drugs with new mechanism of action reported for 2020, SLCs feature prominently (Avram et al., 2021).”
BackgroundTherapeutic Target Identification and Drug Discovery Driven by Chemical Proteomics
Zou, M., Zhou, H., Gu, L., Zhang, J., & Fang, L. (2024) · Biology · doi:10.3390/biology13080555 · Cited by 28 · see citing works
Exploring DrugCentral: from molecular structures to clinical effects
Halip, L., Avram, S. I., Curpan, R. F., et al. (2023) · Journal of Computer-Aided Molecular Design · doi:10.1007/s10822-023-00529-x · Cited by 14 · see citing works
Self-citationPommereau, A., Licher, T., & Bärenz, F. (2023) · Current Protocols · doi:10.1002/cpz1.650 · Cited by 9 · see citing works
“This technique may be especially useful for selecting inhibitory nanobodies targeting transporters for which labeled substrates are not available (Barland & Perez, 2021).”
BackgroundMethodAntimicrobial peptides in bone regeneration: mechanism and potential
Wang, Z., Chen, X., Yan, L., Wang, W., Zheng, P., Atashbahar, M., & Liu, Q. (2024) · Expert Opinion on Biological Therapy · doi:10.1080/14712598.2024.2337239 · Cited by 7 · see citing works
“With the development of research, AMPs have been shown to have excellent features beyond antimicrobial properties, such as good biocompatibility and the ability to regulate the inflammatory microenvironment, promote angiogenesis, and accelerate osteogenesis [12,21–24].”
BackgroundRu, Z., Wu, Y., Shao, J., Yin, J., Qian, L., & Miao, X. (2023) · Briefings in Bioinformatics · doi:10.1093/bib/bbad271 · Cited by 6 · see citing works
Temporal trends in evidence supporting novel drug target discovery
Falaguera, M. J., McDonagh, E. M., Ochoa, D., Rusina, P. V., Roldán‐Romero, J. M., Hulcoop, D. G., Leach, A. R., & Dunham, I. (2025) · Nature Communications · doi:10.1038/s41467-025-67180-y · Cited by 6 · see citing works
Ma, L., Li, M., Gou, S., Wang, W., Liu, K., & Zhang, Y. (2023) · Bioorganic Chemistry · doi:10.1016/j.bioorg.2023.106828 · Cited by 1 · see citing works
Falaguera, M. J., McDonagh, E. M., Ochoa, D., et al. (2024) · Research Square · doi:10.21203/rs.3.rs-5669559/v1 · Cited by 1 · see citing works
CNS Drug Discovery in “The Century of Biology”
Doller, D. (2025) · doi:10.1002/9783527844678.ch1
The evolving landscape of drug targets
Halip, L., Avram, S. I., Overington, J. P., Al‐Lazikani, B., Curpan, R. F., Sirimulla, S., Pushechnikov, A. O., Beccari, A. R., Savchuk, N., & Oprea, T. I. (2026) · Nature Reviews Drug Discovery · doi:10.1038/s41573-026-01530-3
Self-citationTemporally Validated Models for Target “Tclin-likeness”
Quazi, M. A., Sirimulla, S., Bologa, C., Pushechnikov, A. O., Farley, B., Savchuk, N., & Oprea, T. I. (2026) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.6c03088
Self-citation
- Authors
- Avram, S., Halip, L., Curpan, R., & Oprea, T. I.
- Affiliations
- University of New Mexico (US)
- Corresponding author
- Oprea, Tudor I.
- Venue
- Nature Reviews Drug Discovery
- Published
- 2021-04-06
- Volume
- 20
- Issue
- 5
- Pages
- 333-333
- ISSN
- 1474-1776 (ISSN-L)
- 1474-1784
- OpenAlex
- W3140107645
- Cited by
- 13
- References
- 0
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 3 · 2023: 4 · 2022: 1 · 2021: 1
- FWCI
- 1.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nature Reviews Drug Discovery (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Health Sciences › Medicine › Reproductive Medicine › Science, Research, and Medicine
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Degradation and Inhibitors
- Keywords
- therapeutic target, drug target identification, drug discovery
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.
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