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Supplemental Movie 1. Cent-1 treated HeLa H2B-GFP mCherry-tubulin cells arrest in mitosis for several hours with misaligned chromosomes, followed by cell death or abnormal exit from M phase. The cell on the left hand side forms a multipolar spindle after nuclear envelope breakdown (NEB) and exhibits a long mitotic arrest followed by cell division into three daughter cells (NEB to anaphase time is 5 h 15 min). The cell on the right hand side initially forms a tri-foci spindle (time point 01:15), then two microtubule emanating foci fuse together (time point 01:35) to form a bipolar spindle. The cell exhibits a long mitotic arrest followed by cell death (NEB to cell death time is 10 h 30 min). During the arrest most chromosomes congress to the metaphase plate but some remain misaligned near the spindle poles. The cells were treated with 5 microM Cent-1 for 1 h before time-lapse filming started with 5 min frame capture interval. The numbers indicate time in h:min. H2B-GFP is coloured red and mCherry tubulin green.

Mitosis is an attractive target for the development of new anticancer drugs. In a search for novel mitotic inhibitors, we virtually screened for low molecular weight compounds that would possess similar steric and electrostatic features, but different chemical structure than rigosertib (ON 01910.Na), a putative inhibitor of phosphoinositide 3-kinase (PI3K) and polo-like kinase 1 (Plk1) pathways. Highest scoring hit compounds were tested in cell-based assays for their ability to induce mitotic arrest. We identified a novel acridinyl-acetohydrazide, here named as Centmitor-1 (Cent-1), that possesses highly similar molecular interaction field as rigosertib. In cells, Cent-1 phenocopied the cellular effects of rigosertib and caused mitotic arrest characterized by chromosome alignment defects, multipolar spindles, centrosome fragmentation, and activated spindle assembly checkpoint. We compared the effects of Cent-1 and rigosertib on microtubules and found that both compounds modulated microtubule plus-ends and reduced microtubule dynamics. Also, mitotic spindle forces were affected by the compounds as tension across sister kinetochores was reduced in mitotic cells. Our results showed that both Cent-1 and rigosertib target processes that occur during mitosis as they had immediate antimitotic effects when added to cells during mitosis. Analysis of Plk1 activity in cells using a Förster resonance energy transfer (FRET)-based assay indicated that neither compound affected the activity of the kinase. Taken together, these findings suggest that Cent-1 and rigosertib elicit their antimitotic effects by targeting mitotic processes without impairment of Plk1 kinase activity. Mol Cancer Ther; 13(5); 1054–66. ©2014 AACR.

Hec1 (Highly expressed in cancer 1) resides in the outer kinetochore where it works to facilitate proper kinetochore-microtubule interactions during mitosis. Hec1 is overexpressed in various cancers and its expression shows correlation with high tumour grade and poor patient prognosis. Chemical perturbation of Hec1 is anticipated to impair kinetochore-microtubule binding, activate the spindle assembly checkpoint (spindle checkpoint) and thereby suppress cell proliferation. In this study, we performed high-throughput screen to identify novel small molecules that target the Hec1 calponin homology domain (CHD), which is needed for normal microtubule attachments. 4 million compounds were first virtually fitted against the CHD, and the best hit molecules were evaluated in vitro. These approaches led to the identification of VTT-006, a 1,2-disubstituted-tetrahydro-beta-carboline derivative, which showed binding to recombinant Ndc80 complex and modulated Hec1 association with microtubules in vitro. VTT-006 treatment resulted in chromosome congression defects, reduced chromosome oscillations and induced loss of inter-kinetochore tension. Cells remained arrested in mitosis with an active spindle checkpoint for several hours before undergoing cell death. VTT-006 suppressed the growth of several cancer cell lines and enhanced the sensitivity of HeLa cells to Taxol. Our findings propose that VTT-006 is a potential anti-mitotic compound that disrupts M phase, impairs kinetochore-microtubule interactions, and activates the spindle checkpoint.

Bioactivity databases are routinely used in drug discovery to look-up and, using prediction tools, to predict potential targets for small molecules. These databases are typically manually curated from patents and scientific articles. Apart from errors in the source document, the human factor can cause errors during the extraction process. These errors can lead to wrong decisions in the early drug discovery process. In the current work, we have compared bioactivity data from three large databases (ChEMBL, Liceptor, and WOMBAT) who have curated data from the same source documents. As a result, we are able to report error rate estimates for individual activity parameters and individual bioactivity databases. Small molecule structures have the greatest estimated error rate followed by target, activity value, and activity type. This order is also reflected in supplier-specific error rate estimates. The results are also useful in identifying data points for recuration. We hope the results will lead to a more widespread awareness among scientists on the frequencies and types of errors in bioactivity data.

Activity data for small molecules are invaluable in chemoinformatics. Various bioactivity databases exist containing detailed information of target proteins and quantitative binding data for small molecules extracted from journals and patents. In the current work, we have merged several public and commercial bioactivity databases into one bioactivity metabase. The molecular presentation, target information, and activity data of the vendor databases were standardized. The main motivation of the work was to create a single relational database which allows fast and simple data retrieval by in-house scientists. Second, we wanted to know the amount of overlap between databases by commercial and public vendors to see whether the former contain data complementing the latter. Third, we quantified the degree of inconsistency between data sources by comparing data points derived from the same scientific article cited by more than one vendor. We found that each data source contains unique data which is due to different scientific articles cited by the vendors. When comparing data derived from the same article we found that inconsistencies between the vendors are common. In conclusion, using databases of different vendors is still useful since the data overlap is not complete. It should be noted that this can be partially explained by the inconsistencies and errors in the source data.

Most drugs act on a multitude of targets rather than on one single target. Polypharmacology, an upcoming branch of pharmaceutical science, deals with the recognition of these off-target activities of small chemical compounds. Due to the high amount of data to be processed, application of computational methods is indispensable in this area. This review summarizes the most important in silico approaches for polypharmacology. The described methods comprise network pharmacology, machine learning techniques and chemogenomic approaches. The use of these methods for drug repurposing as a branch of drug discovery and development is discussed. Furthermore, a broad range of prospective applications is summarized to give the reader an overview of possibilities and limitations of the described techniques.

Mitosis is an attractive target for the development of new anticancer drugs. In a search for novel mitotic inhibitors, we virtually screened for low molecular weight compounds that would possess similar steric and electrostatic features, but different chemical structure than rigosertib (ON 01910.Na), a putative inhibitor of phosphoinositide 3-kinase (PI3K) and polo-like kinase 1 (Plk1) pathways. Highest scoring hit compounds were tested in cell-based assays for their ability to induce mitotic arrest. We identified a novel acridinyl-acetohydrazide, here named as Centmitor-1 (Cent-1), that possesses highly similar molecular interaction field as rigosertib. In cells, Cent-1 phenocopied the cellular effects of rigosertib and caused mitotic arrest characterized by chromosome alignment defects, multipolar spindles, centrosome fragmentation, and activated spindle assembly checkpoint. We compared the effects of Cent-1 and rigosertib on microtubules and found that both compounds modulated microtubule plus-ends and reduced microtubule dynamics. Also, mitotic spindle forces were affected by the compounds as tension across sister kinetochores was reduced in mitotic cells. Our results showed that both Cent-1 and rigosertib target processes that occur during mitosis as they had immediate antimitotic effects when added to cells during mitosis. Analysis of Plk1 activity in cells using a Förster resonance energy transfer (FRET)-based assay indicated that neither compound affected the activity of the kinase. Taken together, these findings suggest that Cent-1 and rigosertib elicit their antimitotic effects by targeting mitotic processes without impairment of Plk1 kinase activity. Mol Cancer Ther; 13(5); 1054–66. ©2014 AACR.

In this work, we calculated the pair wise chemical similarity for a subset of small molecules screened against the NCI60 cancer cell line panel. Four different compound similarity calculation methods were used: Brutus, GRIND, Daylight and UNITY. The chemical similarity scores of each method were related to the biological similarity data set. The same was done also for combinations of methods. In the end, we had an estimate of biological similarity for a given chemical similarity score or combinations thereof. The data from above was used to identify chemical similarity ranges where combining two or more methods (data fusion) led to synergy. The results were also applied in ligand-based virtual screening using the DUD data set. In respect to their ability to enrich biologically similar compound pairs, the ranking of the four methods in descending performance is UNITY, Daylight, Brutus and GRIND. Combining methods resulted always in positive synergy within a restricted range of chemical similarity scores. We observed no negative synergy. We also noted that combining three or four methods had only limited added advantage compared to combining just two. In the virtual screening, using the estimated biological similarity for ranking compounds produced more consistent results than using the methods in isolation.

Uncompetitive N-methyl-D-aspartate (NMDA) receptor antagonists have been suggested to attenuate the self-administration and rewarding effects of psychostimulants. Microarrays containing 14,500 rat cDNAs were hybridized to identify alterations in gene expression levels in rat brain regions elicited by the uncompetitive NMDA receptor antagonist MK-801 (dizocilpine, 1 mg/kg), the dopamine agonist cocaine (20 mg/kg), or combined treatment (MK-801 15 min prior to cocaine) 4 h after injections. Total genes up regulated (Z-ratio >2) in parietal cortex and nucleus accumbens were 111 and 158, respectively. Total genes down regulated (Z-ratio