The DOI matches its Crossref record; 271 of the 272 references it cites were found in a registry or an index.
Recent advances in the development of protein–protein interactions modulators: mechanisms and clinical trials
Open accessAbstract
Protein–protein interactions (PPIs) have pivotal roles in life processes. The studies showed that aberrant PPIs are associated with various diseases, including cancer, infectious diseases, and neurodegenerative diseases. Therefore, targeting PPIs is a direction in treating diseases and an essential strategy for the development of new drugs. In the past few decades, the modulation of PPIs has been recognized as one of the most challenging drug discovery tasks. In recent years, some PPIs modulators have entered clinical studies, some of which been approved for marketing, indicating that the modulators targeting PPIs have broad prospects. Here, we summarize the recent advances in PPIs modulators, including small molecules, peptides, and antibodies, hoping to provide some guidance to the design of novel drugs targeting PPIs in the future.
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
Figures















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
“However, peptides and proteins have general physicochemical properties, such as instability under physiological conditions, poor oral bioavailability and solubility, which make them less optimal drugs.19”
From Recent advances in targeting the “undruggable” proteins: from drug discovery to clinical trials (2023) · cites this paper as [19]
In the citing paper
“Among them, YAP/TAZ and β-catenin belong to TFs have traditionally been considered “undruggable” targets.”
From Recent advances in targeting the “undruggable” proteins: from drug discovery to clinical trials (2023) · cites this paper as [19]
In the citing paper
“There are several other undruggable proteins can be regulated by PPI modulation, such as YAP/TAZ, β-catenin, XIAP, etc.19”
From Recent advances in targeting the “undruggable” proteins: from drug discovery to clinical trials (2023) · cites this paper as [19]
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
PD-1 and PD-L1 Immune Checkpoint Blockade to Treat Breast Cancer
Hartkopf, A. D., Taran, F., Wallwiener, M., Walter, C. B., Krämer, B., Grischke, E., & Brucker, S. Y. (2016) · Breast Care · doi:10.1159/000453569 · Cited by 30,989
Lipinski, C. A., Lombardo, F., Dominy, B. W., & Feeney, P. J. (2001) · Advanced Drug Delivery Reviews · doi:10.1016/s0169-409x(00)00129-0 · Cited by 18,139
Adverse Renal Effects of Immune Checkpoint Inhibitors: A Narrative Review
Wanchoo, R., Karam, S., Uppal, N. N., Barta, V. S., Deray, G., Devoe, C., Launay‐Vacher, V., Jhaveri, K. D., & on behalf of Cancer and Kidney International Network Workgroup on Immune Checkpoint Inhibitors (2017) · American Journal of Nephrology · doi:10.1159/000455014 · Cited by 15,320
The blockade of immune checkpoints in cancer immunotherapy
Pardoll, D. M. (2012) · Nature Reviews Cancer · doi:10.1038/nrc3239 · Cited by 13,838
Lipinski, C. A., Lombardo, F., Dominy, B. W., & Feeney, P. J. (1997) · Advanced Drug Delivery Reviews · doi:10.1016/s0169-409x(96)00423-1 · Cited by 11,484
Pembrolizumab versus Chemotherapy for PD-L1-Positive Non-Small-Cell Lung Cancer
Reck, M., Rodríguez-Abreu, D., Robinson, A. G., Hui, R., Csőszi, T., Fülöp, A., Gottfried, M., Peled, N., Tafreshi, A., Cuffe, S., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1606774 · Cited by 10,089
Nivolumab versus docetaxel in advanced nonsquamous non-small-cell lung cancer
Borghaei, H., Paz-Ares, L., Horn, L., Spigel, D. R., Steins, M., Ready, N. E., Chow, L. Q., Vokes, E. E., Felip, E., Holgado, E., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1507643 · Cited by 9,335
Pembrolizumab for the Treatment of Non–Small-Cell Lung Cancer
Garon, E. B., Rizvi, N. A., Hui, R., Leighl, N., Balmanoukian, A. S., Eder, J. P., Patnaik, A., Aggarwal, C., Gubens, M., Horn, L., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1501824 · Cited by 6,198
Nivolumab for Recurrent Squamous-Cell Carcinoma of the Head and Neck
Ferris, R. L., Blumenschein, G., Fayette, J., Guigay, J., Colevas, A. D., Licitra, L., Harrington, K., Kasper, S., Vokes, E. E., Even, C., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1602252 · Cited by 5,101
In Vivo Activation of the p53 Pathway by Small-Molecule Antagonists of MDM2
Vassilev, L. T., Vu, B. T., Graves, B., Carvajal, D., Podlaski, F., Filipovic, Z., Kong, N., Kammlott, U., Lukacs, C., Klein, C., et al. (2004) · Science · doi:10.1126/science.1092472 · Cited by 4,661
Research works printed but not linked: 3
- Ferrari, S., Pellati, F. & Costi, M. P. Disruption of Protein-Protein Interfaces (Springer, Berlin, 2013).
- Chen, L. et al. P53 alpha-helix mimetics antagonize p53/MDM2 interaction and activate p53. Mol. Cancer Therap. 4, 1019–1025 (2005). · DOI
- Li, X., Liu, R. & Fang, H. Bcl-2: research progress from target to launched drug. Acta Pharma. Sin. 53, 509–517 (2018).
Cited by
Sorted by citations
Items 301–400 of 899
Mayol, G. F., Defelipe, L. A., Arcon, J. P., Turjanski, A. G., & Marti, M. A. (2022) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.2c00264 · Cited by 10
Tubiana, J., Lifshits, L. A., Nissan, M., Gabay, M., Sher, I., Sova, M., Wolfson, H. J., & Gal, M. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010874 · Cited by 12
Computational design of cyclic peptides to inhibit protein-peptide interactions
Delaunay, M., & Ha‐Duong, T. (2023) · Biophysical Chemistry · doi:10.1016/j.bpc.2023.106987 · Cited by 10
AAA ATPase protein–protein interactions as therapeutic targets in cancer
Mannar, D., Ahmed, S., & Subramaniam, S. (2023) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2023.102291 · Cited by 10
Gutiérrez-González, L. H., Rivas-Fuentes, S., Guzmán‐Beltrán, S., Flores–Flores, A., Rosas-García, J., & Santos-Mendoza, T. (2021) · Molecules · doi:10.3390/molecules26216367 · Cited by 11
A full-proteome, interaction-specific characterization of mutational hotspots across human cancersPreprint
Chen, S., Liu, Y., Zhang, Y., Wierbowski, S. D., Lipkin, S. M., Wei, X., & Yu, H. (2021) · Genome Research · doi:10.1101/gr.275437.121 · Cited by 9
Chen, T., Quinn, Z., Mishra, K., O’Connor, E. C., Silver, S. E., Zhang, Y., Valencia, M. J., Mei, Y., Behmoaras, J., Ferreira, L. M. R., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.07.31.606098 · Cited by 11
Predicting the structures of cyclic peptides containing unnatural amino acids by HighFold2
Zhu, C., Cao, S., Shang, T., Guo, J., Su, A., Li, C., & Duan, H. (2025) · Briefings in Bioinformatics · doi:10.1093/bib/bbaf202 · Cited by 13
Zahra, N. U. A., Vagiona, A.-C., Uddin, R., & Andrade-Navarro, M. A. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241814050 · Cited by 8
Akinnuwesi, A., Egieyeh, S. A., & Cloete, R. E. A. (2023) · Frontiers in Drug Discovery · doi:10.3389/fddsv.2023.1254656 · Cited by 9
Zerihun, M., Rubin, S. J. S., Silnitsky, S., & Qvit, N. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms242417504 · Cited by 9
Entry inhibitors as arenavirus antivirals
Iyer, K., Yan, Z., & Ross, S. R. (2024) · Frontiers in Microbiology · doi:10.3389/fmicb.2024.1382953 · Cited by 9
Chun, C., Byun, J. M., Cha, M., Lee, H.-W., Choi, B., Kim, H., Hong, S., Lee, Y., Park, H. Y., Koh, Y., et al. (2024) · Nature Biomedical Engineering · doi:10.1038/s41551-024-01241-3 · Cited by 11
Unraveling the role of physicochemical differences in predicting protein–protein interactions
Teimouri, H., Medvedeva, A., & Kolomeisky, A. B. (2024) · The Journal of Chemical Physics · doi:10.1063/5.0219501 · Cited by 9
Baysah, C. Z., Dohoney, R. A., Palanikumar, L., Stillman, N. H., Penney, A. L., Sola, A. D., Paredes, D., Magzoub, M. M., & Kumar, S. (2025) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.4c00753 · Cited by 9
Li, H., Nithin, C., Kmiecik, S., & Huang, S. (2025) · Drug Discovery Today · doi:10.1016/j.drudis.2025.104382 · Cited by 9
Proteomic Profiling of Urinary Large Extracellular Vesicles for the Diagnosis of Prostate Cancer
Fan, Y., Zhang, Y., Zhang, G., Ma, L., Lv, Y., Li, J., Luan, Y., Zhang, Y., Chen, Y., Ren, H., et al. (2025) · Analytical Chemistry · doi:10.1021/acs.analchem.5c01320 · Cited by 9
Mukhopadhyay, S., Sinha, K., & Chakrabarty, S. (2025) · Journal of Molecular Biology · doi:10.1016/j.jmb.2025.169382 · Cited by 10
Kim, J., Park, H. S., Kang, H., Son, C. Y., Kim, H. K., Choi, J. H., Kim, L., Choi, S. C., Kim, Y., Hong, S., et al. (2025) · Chemical Engineering Journal · doi:10.1016/j.cej.2025.167447 · Cited by 9
Hasan, M. N., Sharma, S., Mallen, J. J., & Saha, A. (2025) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.5c04085 · Cited by 10
Natural Product Modulators of Protein–Protein Interactions: A Comprehensive Review
Kamel, E. M., Allam, A. A., Rudayni, H. A., Alkhayl, F. F. A., Ahmed, N. A., & Lamsabhi, A. M. (2026) · Phytochemical Analysis · doi:10.1002/pca.70054 · Cited by 10
Hu, J., Sun, X.-M., Su, J., Zhao, Y., & Chen, Y. (2021) · Chemical Science · doi:10.1039/d0sc05838f · Cited by 9
Laveglia, V., Giachetti, A., Cerofolini, L., Haubrich, K., Fragai, M., Ciulli, A., & Rosato, A. (2021) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.1c00871 · Cited by 9
Roberts, A. J., Nagar, R., Brandt, C., Harcourt, K., Clare, S., Ferguson, M. A. J., & Wright, G. J. (2022) · mBio · doi:10.1128/mbio.00433-22 · Cited by 9
α/Sulfono-γ-AA peptide hybrids agonist of GLP-1R with prolonged action both in vitro and in vivo
Shi, Y., Lee, C., Sang, P., Amso, Z., Huang, D., Zhong, W., Gu, M., Wei, L., Nguyen-Tran, V. T. B., Zhang, J., et al. (2022) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2022.10.014 · Cited by 9
Modular Nanotransporters Delivering Biologically Active Molecules to the Surface of Mitochondria
Khramtsov, Y. V., Ulasov, A. V., Slastnikova, T. A., Rosenkranz, A. A., Lupanova, T. N., Georgiev, G. P., & Sobolev, A. S. (2023) · Pharmaceutics · doi:10.3390/pharmaceutics15122687 · Cited by 8
Growing ecosystem of deep learning methods for modeling protein–protein interactions
Rogers, J. R., Nikolényi, G., & AlQuraishi, M. (2023) · Protein Engineering Design and Selection · doi:10.1093/protein/gzad023 · Cited by 12
Yang, L., Yuan, Z., Li, Y., Yang, S., & Yu, B. (2024) · Medicinal Chemistry Research · doi:10.1007/s00044-024-03255-7 · Cited by 9
The power of computational proteomics platforms to decipher protein-protein interactions
González‐Avendaño, M., López, J., Vergara‐Jaque, A., & Cerda, O. (2024) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2024.102882 · Cited by 10
Technologies for the identification and validation of protein-protein interactions
Pichlerová, K., & Hanes, J. (2021) · General Physiology and Biophysics · doi:10.4149/gpb_2021035 · Cited by 9
Spatial Layouts of Low‐Entropy Hydration Shells Guide Protein Binding
Yang, L., Guo, S., Liao, C., Hou, C., Jiang, S., Li, J., Ma, X., Shi, L., Ye, L., & He, X. (2023) · Global Challenges · doi:10.1002/gch2.202300022 · Cited by 8
Focusing on oligomeric tau as a therapeutic target in Alzheimer’s disease and other tauopathies
Rayman, J. B. (2023) · Expert Opinion on Therapeutic Targets · doi:10.1080/14728222.2023.2206561 · Cited by 11
Molla, R., Joshi, P. N., Reddy, N. C., Biswas, D., & Rai, V. (2023) · Organic Letters · doi:10.1021/acs.orglett.3c02405 · Cited by 9
Electrophile Scanning Reveals Reactivity Hotspots for the Design of Covalent Peptide Binders
Grob, N. M., Remarcik, C., Rössler, S. L., Wong, J. Y. K., Wang, J. C. K., Tao, J., Smith, C. L., Loas, A., Buchwald, S. L., Eaton, D., et al. (2023) · ACS Chemical Biology · doi:10.1021/acschembio.3c00538 · Cited by 9
Protein–Protein Interactions By Influenza Polymerase Subunits As Drug Targets
Felicetti, T., & Massari, S. (2021) · Future Medicinal Chemistry · doi:10.4155/fmc-2021-0259 · Cited by 9
Lanjanian, H., Hosseini, S., Narimani, Z., Meknatkhah, S., & Riazi, G. H. (2023) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2022.2163425 · Cited by 8
Hornung, S., Vogl, D. P., Naltsas, D., Volta, B. D., Ballmann, M., Marcon, B., Syed, M. M. K., Wu, Y., Spanopoulou, A., Feederle, R., et al. (2025) · Angewandte Chemie International Edition · doi:10.1002/anie.202422834 · Cited by 11
Dirscherl, L., Merz, L. S., Kobras, R., Spies, P., Frutiger, A., Gatterdam, V., & Meinel, D. M. (2025) · Biosensors · doi:10.3390/bios15020066 · Cited by 8
Yu, C., Adavikolanu, R., Kaake, R. M., & Huang, L. (2025) · Mass Spectrometry Reviews · doi:10.1002/mas.21926 · Cited by 10
Main methods and tools for peptide development based on protein-protein interactions (PPIs)
Baeza, J., Bedoya, M., Cruz, P., Ojeda, P., Adasme-Carreño, F., Cerda, O., & González, W. (2025) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2025.151623 · Cited by 8
Grafted Coiled-Coil Peptides as Multivalent Scaffolds for Protein Recognition
Acevedo‐Jake, A. M., Mylemans, B., Kay, D. F., Zhang, P., Korona, B., Rhys, G. G., Leney, A. C., Huang, D. T. C., Edwards, T. A., Itzhaki, L. S., et al. (2025) · ACS Chemical Biology · doi:10.1021/acschembio.5c00137 · Cited by 9
Eberle, S. A., & Gustavsson, M. (2022) · Cells · doi:10.3390/cells11081317 · Cited by 8
Supramolecular synthon hierarchy in cyclopropyl-containing peptide-derived compounds
Bojarska, J., Breza, M., Remko, M., Borowiecki, P., Fruziñski, A., Madura, I. D., Kaczmarek, K., Lesnikowski, Z. J., Kraj, A., Zielenkiewicz, P., et al. (2022) · CrystEngComm · doi:10.1039/d2ce01231f · Cited by 8
Recent Progress in Peptide-Based Molecular Probes for Disease Bioimaging
Xu, Y., Chen, J., Zhang, Y., & Zhang, P. (2024) · Biomacromolecules · doi:10.1021/acs.biomac.3c01413 · Cited by 8
Mixed Stereochemistry Macrocycle Acts as a Helix-Stabilizing Peptide N-Cap
Hink, F., Aduriz‐Arrizabalaga, J., López, X., Suga, H., Sancho, D. D., & Rogers, J. M. (2024) · Journal of the American Chemical Society · doi:10.1021/jacs.4c05378 · Cited by 9
Yin, X., Chen, L., Yuan, S., Liu, L., & Gao, Z. (2021) · Bioorganic Chemistry · doi:10.1016/j.bioorg.2021.105362 · Cited by 8
Kovačević, M., Semenčić, M. Č., Radošević, K., Molčanov, K., Roca, S., Šimunović, L., Kodrin, I., & Barišić, L. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222413532 · Cited by 8
Mohanty, A., & Kumar, M. S. (2021) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2021.2008497 · Cited by 9
Zhu, F., Li, F., Deng, L., Meng, F., & Liang, Z. T. (2022) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.1c00982 · Cited by 7
Bi, J., Wee, J., Liu, X., Qu, C., Wang, G., & Xia, K. (2023) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.3c00621 · Cited by 8
Kusova, A. M., Rakipov, I. T., & Zuev, Y. F. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241311148 · Cited by 8
Regulation of IL-24/IL-20R2 complex formation using photocaged tyrosines and UV light
Pham, P. N., Zahradník, J., Kolářová, L., Schneider, B., & Fuertes, G. (2023) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2023.1214235 · Cited by 9
Construction of diverse peptide structural architectures via chemoselective peptide ligation
Cheung, C. H. P., Xu, J., Lee, C. L., Zhang, Y., Wei, R., Bierer, D. E., Huang, X., & Li, X. (2021) · Chemical Science · doi:10.1039/d1sc01174j · Cited by 8
Machine Learning Approaches to Improve Prediction of Target‐Drug Interactions
Balatti, G. E., Barletta, P. G., D. Perez, A., Giudicessi, S. L., & Martínez‐Ceron, M. C. (2022) · Wiley eBooks · doi:10.1002/9781394167258.ch2 · Cited by 9
Bryant, P., & Noé, F. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.04.15.536993 · Cited by 7
Helical structure in cyclic peptides: effect of N -methyl amides versus esters
Wu, C., Hoang, H. N., Hill, T. A., Lim, J., Kok, W. M., Akondi, K., Liu, L., & Fairlie, D. P. (2022) · Chemical Communications · doi:10.1039/d2cc05092g · Cited by 6
Current and preclinical treatment options for Merkel cell carcinoma
Celikdemir, B., Houben, R., Kervarrec, T., Samimi, M., & Schrama, D. (2023) · Expert Opinion on Biological Therapy · doi:10.1080/14712598.2023.2257603 · Cited by 7
Zhang, Z., Zhao, L., Gao, M., Chen, Y., Wang, J., & Wang, C. (2024) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2024.108287 · Cited by 7
An Ensemble Classifiers for Improved Prediction of Native–Non-Native Protein–Protein Interaction
Pratiwi, N. K. C., Tayara, H., & Chong, K. T. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25115957 · Cited by 7
Identification of small-molecule ligand-binding sites on and in the ARNT PAS-B domain
Xu, X., Closson, J. D., Marcelino, L. P., Favaro, D. C., Silvestrini, M., Solazzo, R., Chong, L. T., & Gardner, K. H. (2024) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2024.107606 · Cited by 7
Li, Z., Song, K., Chen, Y., Huang, Q., You, L., Yu, L., Chen, B., Yuan, Z., Xu, Y., Su, Y., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-51122-1 · Cited by 7
Oduro‐Kwateng, E., Ali, M. A. M., Kehinde, I. O., Zhang, Z., & Soliman, M. E. S. (2024) · Journal of Cellular Biochemistry · doi:10.1002/jcb.30633 · Cited by 7
Chatterjee, A., Ravandi, B., Haddadi, P., Philip, N. H., Abdelmessih, M., Mowrey, W. R., Ricchiuto, P., Liang, Y., Ding, W., Mobarec, J. C., et al. (2025) · Bioinformatics · doi:10.1093/bioinformatics/btaf148 · Cited by 8
Kang, H., Maurer, L. M., Cheng, J., Smyers, M., Klei, L. R., Hu, D., Azambuja, J. H., Murai, M. J., Mady, A. S. A., Ahmad, E., et al. (2025) · Journal of Clinical Investigation · doi:10.1172/jci164573 · Cited by 7
Harnessing technologies to unravel gastric cancer heterogeneity
Wang, Y., Jin, R. U., Xu, J., Lin, D., Sun, Z.-Y. J., Xu, Y., Li, Q. K., & Zhang, H. (2025) · Trends in cancer · doi:10.1016/j.trecan.2025.04.011 · Cited by 8
Xu, Q., Liu, W., Liu, H., & Zheng, Z. (2025) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.5c00387 · Cited by 9
Bioluminescence-based assays for quantifying endogenous protein interactions in live cells
Niles, A. L., Dibble, M., Machleidt, T., Martino, K., Swiatnicki, M., Vu, E. H., & Schwinn, M. K. (2025) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2025.110454 · Cited by 7
Bolz, S. N., Schake, P., Stitz, C., & Schroeder, M. (2025) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2025.2557599 · Cited by 7
Peptide-Based Targeted Covalent Inhibitors
Cao, F., Guo, R.-C., Zhang, Z., & Yu, Z. (2025) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.5c18100 · Cited by 8
Complexoform-restricted covalent TRMT112 ligands that allosterically agonize METTL5
Goetzke, F. W., Bernard, S. M., Ju, C., Pollock, J., DeMeester, K. E., Gross, J., Simon, G. M., He, C., Melillo, B. N., & Cravatt, B. F. (2026) · Nature Chemical Biology · doi:10.1038/s41589-025-02099-5 · Cited by 8
Colocalization and Interaction Study of Neuronal JNK3, JIP1, and β-Arrestin2 Together with PSD95
Musi, C. A., Marchini, G., Giani, A., Tomaselli, G., Priori, E. C., Colnaghi, L., & Borsello, T. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23084113 · Cited by 7
Yuan, X., Jiang, H., Fu, D., Robida, A. M., Rajanayake, K. K., Yuan, H., Wen, B., Sun, D., Watch, B. T., Chinnaswamy, K., et al. (2022) · Bioorganic & Medicinal Chemistry · doi:10.1016/j.bmc.2022.116942 · Cited by 8
Sartori, G., Albuquerque, A., Santos-Costa, A. H., Andrade, L., Almeida, D. D. S., Gaieta, E. M., Sampaio, J. V., Albuquerque, V. T. D. M. L., & da Silva, J. H. M. (2022) · Frontiers in Drug Discovery · doi:10.3389/fddsv.2022.1032587 · Cited by 7
Predator: Predicting the Impact of Cancer Somatic Mutations on Protein-Protein Interactions
Berber, I., Erten, C., & Kazan, H. (2023) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2023.3262119 · Cited by 7
Fania, R. D. F., Bellazzo, A., & Collavin, L. (2024) · Cell Death and Differentiation · doi:10.1038/s41418-024-01332-3 · Cited by 7
Accessing diverse bicyclic peptide conformations using 1,2,3-TBMB as a linker
Sudhakar, H. K., Yau, J. T. K., Alcock, L. J., & Lau, Y. H. (2024) · Organic & Biomolecular Chemistry · doi:10.1039/d4ob00901k · Cited by 7
A split intein and split luciferase-coupled system for detecting protein-protein interactions
Yao, Z., Kim, J., Geng, B., Chen, J., Wong, V., Lyakisheva, A., Snider, J., Dimlić, M. R., Raić, S., & Štagljar, I. (2024) · Molecular Systems Biology · doi:10.1038/s44320-024-00081-2 · Cited by 7
Liu, F.-Y., Cho, Y., Fridayana, F. R., Niloofar, L., Vo, M. N., Huang, Y., Limanjaya, A., Kwon, M., Ock, J., Lee, S., et al. (2025) · Experimental & Molecular Medicine · doi:10.1038/s12276-024-01373-1 · Cited by 7
Koirala, M., & Fagerquist, C. K. (2025) · Molecules · doi:10.3390/molecules30061277 · Cited by 7
Pasch, P., Höing, A., Ueclue, S., Killa, M., Voskuhl, J., Knauer, S. K., & Hartmann, L. (2021) · Chemical Communications · doi:10.1039/d0cc07139k · Cited by 7
Kobryn, A. E., Maruyama, Y., Velázquez‐Martínez, C. A., Yoshida, N., & Gusarov, S. (2021) · New Journal of Chemistry · doi:10.1039/d1nj02015c · Cited by 7
Targeting Protein Interaction Hotspots Using Structured and Disordered Chimeric Peptide Inhibitors
Mayer, G., Shpilt, Z., Kowalski, H., Tshuva, E. Y., & Friedler, A. (2022) · ACS Chemical Biology · doi:10.1021/acschembio.2c00177 · Cited by 7
Caputo, A., Sartini, S., Levati, E., Minato, I., Elisi, G. M., Stasi, A. D., Guillou, C., Goekjian, P. G., Garcia, P., Gueyrard, D., et al. (2022) · Antibiotics · doi:10.3390/antibiotics11101449 · Cited by 7
Identification of SH2 domain-containing proteins and motifs prediction by a deep learning method
Wu, D., Fang, X., Luan, K., Xu, Q., Lin, S., Sun, S., Yang, J., Dong, B., Manavalan, B., & Liao, Z. (2023) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2023.107065 · Cited by 7
Marciniak, M., Mróz, P., Napolitano, V., Kalel, V. C., Fino, R., Pykacz, E., Schliebs, W., Plettenburg, O., Erdmann, R., Sattler, M., et al. (2023) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2023.115587 · Cited by 7
It Takes Two to Tango! Protein–Protein Interactions behind cAMP-Mediated CFTR Regulation
Murabito, A., Bhatt, J., & Ghigo, A. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241310538 · Cited by 7
Póti, Á., Dénes, L., Papp, K., Bató, C., Bánóczi, Z., Reményi, A., & Alexa, A. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241914854 · Cited by 6
Hayward, D., & Beekman, A. M. (2024) · RSC Chemical Biology · doi:10.1039/d3cb00222e · Cited by 7
Multi-level bioinformatics resources support drug target discovery of protein–protein interactions
Liu, J., Zhang, X., Huang, Y., Hao, G., & Yang, G. (2024) · Drug Discovery Today · doi:10.1016/j.drudis.2024.103979 · Cited by 8
Mutation in the Common Docking Domain Affects MAP Kinase ERK2 Catalysis and Stability
Novak, L., Petrosino, M., Pasquo, A., Chaikuad, A., Chiaraluce, R., Knapp, S., & Consalvi, V. (2023) · Cancers · doi:10.3390/cancers15112938 · Cited by 7
PPIscreenML: Structure-based screening for protein-protein interactions using AlphaFoldPreprint
Mischley, V., Maier, J., Chen, J., & Karanicolas, J. (2024) · eLife · doi:10.7554/elife.98179.1 · Cited by 7
Crouzet, A., Lopez, N., Riss‐Yaw, B., Lepelletier, Y., & Demange, L. (2024) · Molecules · doi:10.3390/molecules29122716 · Cited by 6
Exploring protein-protein interactions for the development of new analgesics
do Nascimento, A. M., Marques, R. B., Roldão, A. P., Rodrigues, A. M. G. D., Eslava, R. M., Dale, C. S., Reis, E. M. R., & Schechtman, D. (2024) · Science Signaling · doi:10.1126/scisignal.adn4694 · Cited by 7
Sequence-defined phosphoestamers for selective inhibition of the KRAS G12D /RAF1 interaction
Claringbold, B., Vance, S., Paul, A. R., Williamson, J., Garrett, M. D., & Serpell, C. J. (2024) · Chemical Science · doi:10.1039/d4sc07218a · Cited by 6
Oberheide, A., van den Oetelaar, M. C. M., Scheele, J. J., Borggräfe, J., Engelen, S. F. H., Sattler, M., Ottmann, C., Cossar, P. J., & Brunsveld, L. (2025) · RSC Medicinal Chemistry · doi:10.1039/d4md00833b · Cited by 6
Gallego, F., Ruas, P., Couto, F. M., & Veredas, F. J. (2025) · Knowledge-Based Systems · doi:10.1016/j.knosys.2025.113211 · Cited by 11
Affinity-based protein profiling of MDM2 inhibitor Navtemadlin
Date, A., Wall, A., Zhang, P., Houghton, J. W., Lu, J., Thomas, A., Kovačič, T., Wilson, A. J., Tate, E. W., & Barnard, A. (2025) · Chemical Science · doi:10.1039/d5sc00120j · Cited by 6
Hunter, C. E., Pohl, E., & Freitag, S. (2025) · Biophysical Reviews · doi:10.1007/s12551-025-01359-x · Cited by 7
Stratiichuk, R., Kyrylenko, R., Koleiev, I., Savchenko, I., Voitsitskyi, T., Husak, V., Yesylevskyy, S., Starosyla, S., & Nafiiev, A. (2025) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.5c01765 · Cited by 6
An, C., Cai, W., Li, P., Li, J., Zhao, N., Xu, Y., Li, K., Pang, N., Cheng, X., Wang, N., et al. (2025) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.5c01432 · Cited by 6
Metadata
- Authors
- Lu, H., Zhou, Q., He, J., Jiang, Z., Peng, C., Tong, R., & Shi, J.
- Affiliations
- University of Electronic Science and Technology of China (CN)
- Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital (CN)
- Sichuan University (CN)
- University of Miami (US)
- Chengdu University of Traditional Chinese Medicine (CN)
- Corresponding author
- Peng, Cheng
- Tong, Rongsheng
- Shi, Jianyou
- Venue
- Signal Transduction and Targeted Therapy
- Published
- 2020-09-23
- Volume
- 5
- Issue
- 1
- Pages
- 213-213
- ISSN
- 2059-3635 (ISSN-L)
- PMC
- PMC7511340
- OpenAlex
- W3087769169
- Cited by
- 891
- References
- 272
- Citations by year
- 2026: 125 · 2025: 195 · 2024: 192 · 2023: 159 · 2022: 141 · 2021: 75 · 2020: 1
- FWCI
- 9.07
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Signal Transduction and Targeted Therapy (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Chengdu Science and Technology Bureau (No. 2015-HM01-00463-SF)
- State Administration of Traditional Chinese Medicine of the People’ Republic of China (JDZX2015210)
- the Open Research Fund of Chengdu University of Traditional Chinese Medicine Key Laboratory of Systematic Research of Distinctive Chinese Medicine Resources in Southwest China
- the Key Research and Development Program of Science and Technology Department of Sichuan Provinc
- 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, PPI inhibitors, drug discovery, small molecules, peptides, immunoglobulins, cancer, infectious diseases, neurodegenerative diseases, clinical trials
- MeSH terms
- Humans, Infections, Neoplasms, Drug Delivery Systems, Neurodegenerative Diseases, Drug Discovery, Protein Interaction Maps
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