Back

Characterizing Compounds Targeting Colorectal Cancer Derived From Monastrol Using High-Through Screening of an Extensive Combinatorial Library

Rodriguez-Martinez, A.; Giraldo-Ruiz, L.; Ramos, M. C.; Luque, I.; Ribeiro, D.; Postigo-Corrales, F.; Alburquerque-Gonzalez, B.; Montoro-Garcia, S.; Arroyo-Rodriguez, A. B.; Conesa-Zamora, P.; Hurtado, A. M.; Luengo-Gil, G.; Perez-Sanchez, H.

2025-08-10 cancer biology
10.1101/2025.08.07.667829 bioRxiv
Show abstract

BackgroundCancer remains a critical global health concern. Among its various forms, colorectal cancer (CRC) stands out due to its high prevalence and mortality rates, emphasizing the urgent need for novel therapeutic agents to enhance treatment efficacy and prolong patient survival. Monastrol, an antimitotic compound known to bind kinesin Eg5, is employed in some cancer therapies. Recent studies have revealed that monastrol also interacts with fascin, a protein implicated in tumor aggressiveness and metastasis, thereby disrupting microtubule dynamics and actin bundling, ultimately impairing cell migration. MethodsIn this work, we developed a workflow to identify fascin-binding compounds based on a monastrol-derived pharmacophore model, integrating in silico predictions with in vitro validation. We performed ligand-based virtual screening using a pharmacophore model constructed from monastrol, applied to a high-throughput screening (HTS) library of 1.6 million compounds. The top-ranking candidates from the virtual screening were subsequently subjected to physicochemical characterization and cellular assays. ResultsTwo compounds (designated Z118298144 and Z17544625) were identified that exhibited strong binding to fascin and inhibited actin bundling in physicochemical assays. Furthermore, cellular experiments demonstrated that both compounds reduced proliferation and impaired migration of CRC cells at micromolar concentrations. ConclusionsWe established an optimized pipeline combining virtual screening with experimental validation to efficiently identify fascin inhibitors. Using this approach, we discovered two promising compounds with anticancer activity in CRC cell cultures. Moreover, the protocol has been successfully adapted for application to additional cancer-related targets, expanding its potential utility in drug discovery. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=113 SRC="FIGDIR/small/667829v1_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@dc470eorg.highwire.dtl.DTLVardef@1bd0759org.highwire.dtl.DTLVardef@12d755dorg.highwire.dtl.DTLVardef@1742d45_HPS_FORMAT_FIGEXP M_FIG C_FIG

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3612 papers in training set
Top 3%
11.9%
2
ACS Omega
105 papers in training set
Top 0.1%
11.9%
3
PLOS ONE
5266 papers in training set
Top 22%
7.9%
4
RSC Advances
22 papers in training set
Top 0.1%
6.7%
5
Molecules
39 papers in training set
Top 0.1%
6.3%
6
International Journal of Molecular Sciences
494 papers in training set
Top 1%
5.5%
50% of probability mass above
7
ACS Pharmacology & Translational Science
40 papers in training set
Top 0.1%
4.3%
8
Frontiers in Pharmacology
111 papers in training set
Top 0.7%
3.4%
9
ACS Medicinal Chemistry Letters
17 papers in training set
Top 0.1%
3.2%
10
Biochemistry and Biophysics Reports
30 papers in training set
Top 0.2%
2.4%
11
Pharmaceuticals
34 papers in training set
Top 0.3%
2.4%
12
Biomedicine & Pharmacotherapy
42 papers in training set
Top 0.6%
1.7%
13
Computational and Structural Biotechnology Journal
242 papers in training set
Top 4%
1.5%
14
Journal of Biomolecular Structure and Dynamics
43 papers in training set
Top 0.7%
1.5%
15
European Journal of Medicinal Chemistry
17 papers in training set
Top 0.2%
1.3%
16
Journal of Medicinal Chemistry
77 papers in training set
Top 0.7%
1.1%
17
Journal of Cheminformatics
29 papers in training set
Top 0.6%
1.1%
18
Biochemical Pharmacology
20 papers in training set
Top 0.3%
1.1%
19
Briefings in Bioinformatics
354 papers in training set
Top 6%
1.0%
20
Communications Biology
993 papers in training set
Top 25%
1.0%
21
International Journal of Biological Macromolecules
76 papers in training set
Top 2%
1.0%
22
PLOS Computational Biology
1863 papers in training set
Top 20%
0.8%
23
ChemMedChem
16 papers in training set
Top 0.3%
0.8%
24
Frontiers in Oncology
103 papers in training set
Top 3%
0.8%
25
Journal of Molecular Graphics and Modelling
17 papers in training set
Top 0.4%
0.8%
26
Biochemical Journal
91 papers in training set
Top 2%
0.6%
27
Journal of Chemical Information and Modeling
238 papers in training set
Top 3%
0.6%
28
European Journal of Pharmacology
15 papers in training set
Top 0.7%
0.6%
29
Heliyon
152 papers in training set
Top 9%
0.6%
30
Cell Communication and Signaling
51 papers in training set
Top 2%
0.6%