The DOI matches its Crossref record; 205 of the 205 references it cites were found in a registry or an index.
Targeting protein–protein interactions in hematologic malignancies: still a challenge or a great opportunity for future therapies?
Open accessAbstract
Summary: Over the past several years, there has been an increasing research effort focused on inhibition of protein–protein interactions (PPI s) to develop novel therapeutic approaches for cancer, including hematologic malignancies. These efforts have led to development of small molecule inhibitors of PPI s, some of which already advanced to the stage of clinical trials while others are at different stages of preclinical optimization, emphasizing PPI s as an emerging and attractive class of drug targets. Here, we review several examples of recently developed inhibitors of PPI s highly relevant to hematologic cancers. We address the existing skepticism about feasibility of targeting PPI s and emphasize potential therapeutic benefit from blocking PPI s in hematologic malignancies. We then use these examples to discuss the approaches for successful identification of PPI inhibitors and provide analysis of the protein–protein interfaces, with the goal to address ‘druggability’ of new PPI s relevant to hematology. We discuss lessons learned to improve the success of targeting new PPI s and evaluate prospects and limits of the research in this field. We conclude that not all PPI s are equally tractable for blocking by small molecules, and detailed analysis of PPI interfaces is critical for selection of those with the highest chance of success. Together, our analysis uncovers patterns that should help to advance drug discovery in hematologic malignancies by successful targeting of new PPI s.
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.
Integrity signals
Registry
Cites
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.
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
“Another disadvantage of targeting the active site of kinases is that those inhibitors are highly susceptible to resistance arising from mutations in the catalytic domain, such as drug resistance to imatinib in the case of chronic myeloid leukemia patients [4, 105].”
From The design and development of covalent protein-protein interaction inhibitors for cancer treatment (2020) · cites this paper as [4]
In the citing paper
“Furthermore, while many cancers are driven by aberrant kinase activity, it is thought that targeting the PPIs that regulate the activity of a specific kinase is a more viable approach to develop selective kinase inhibitors than targeting the conserved ATP binding site of kinases directly [4, 102, 103].”
From The design and development of covalent protein-protein interaction inhibitors for cancer treatment (2020) · cites this paper as [4]
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
Items 201–205 of 205
Gotoh, Y., Nagata, H., Kase, H., Shimonishi, M., & Ido, M. (2010) · Analytical Biochemistry · doi:10.1016/j.ab.2010.05.028 · Cited by 15
Yang, S. H. (2013) · Tuberculosis & respiratory diseases · doi:10.4046/trd.2013.75.5.188 · Cited by 11
Epigenetic deregulation in myeloid malignancies
Meldi, K. M., & Figueroa, M. E. (2014) · Translational research · doi:10.1016/j.trsl.2014.04.012 · Cited by 9
The Role of HTS in Drug Discovery at the University of Michigan
Larsen, M. J., Larsen, S. D., Fribley, A. M., Grembecka, J. E., Homan, K. T., Mapp, A. K., Haak, A. J., Nikolovska‐Coleska, Z., Stuckey, J. A., Sun, D., et al. (2014) · Combinatorial Chemistry & High Throughput Screening · doi:10.2174/1386207317666140109121546 · Cited by 9
Self-citationA Small Molecule Inhibitor of the CBFβ-SMMHC/RUNX Interaction Attenuates Inv(16) Leukemia in Vivo
Bushweller, J. H., Illendula, A., Pulikkan, J. A., et al. (2012) · Blood · doi:10.1182/blood.v120.21.286.286 · Cited by 2
Flagged first, then by citations
Cited by
Sorted by citations
The design and development of covalent protein-protein interaction inhibitors for cancer treatment
Cheng, S.-S., Yang, G.-J., Wang, W., Leung, C.-H., & Ma, D.-L. (2020) · Journal of Hematology & Oncology · doi:10.1186/s13045-020-00850-0 · Cited by 98
Zhong, H.-J., Lee, B. R., Boyle, J. W., Wang, W., Ma, D.-L., Hong Chan, P. W., & Leung, C.-H. (2016) · Chemical Communications · doi:10.1039/c6cc01079b · Cited by 38
Metadata
- Authors
- Cierpicki, T., & Grembecka, J.
- Affiliations
- University of Michigan (US)
- Corresponding author
- Grembecka, Jolanta
- Venue
- Immunological Reviews
- Publisher
- Wiley
- Published
- 2014-12-15
- Volume
- 263
- Issue
- 1
- Pages
- 279-301
- ISSN
- 0105-2896 (ISSN-L)
- 1600-065X
- PMC
- PMC4457300
- OpenAlex
- W2043842326
- Cited by
- 53
- References
- 205
- Citations by year
- 2026: 4 · 2025: 1 · 2024: 2 · 2023: 1 · 2022: 2 · 2021: 4 · 2020: 9 · 2019: 4 · 2018: 6 · 2017: 4 · 2016: 9 · 2015: 5 · 2014: 1
- FWCI
- 0.69
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Immunological Reviews (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Deep Blue (University of Michigan) (submittedVersion)
- Funders
- American Cancer Society (RSG-11-082-01-DMC, RSG-13-130-01-CDD)
- Leukemia and Lymphoma Society (6116-12, 6111-14, 1215-14)
- NIH (1R01CA160467)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Degradation and Inhibitors
- Physical Sciences › Chemistry › Organic Chemistry › Chemical Synthesis and Analysis
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Computational Drug Discovery Methods
- Keywords
- protein-protein interaction inhibitors, hematologic malignancies, small molecule inhibitors, druggability, drug discovery, cancer therapy, clinical trials
- MeSH terms
- Animals, Antineoplastic Agents, Clinical Trials as Topic, Humans, Computational Biology, Hematologic Neoplasms, Protein Interaction Domains and Motifs, Drug Discovery, Molecular Targeted Therapy
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