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Erschienen in: Malaria Journal 1/2017

Open Access 01.12.2017 | Research

Screening a protein kinase inhibitor library against Plasmodium falciparum

verfasst von: Irene Hallyburton, Raffaella Grimaldi, Andrew Woodland, Beatriz Baragaña, Torsten Luksch, Daniel Spinks, Daniel James, Didier Leroy, David Waterson, Alan H. Fairlamb, Paul G. Wyatt, Ian H. Gilbert, Julie A. Frearson

Erschienen in: Malaria Journal | Ausgabe 1/2017

Abstract

Background

Protein kinases have been shown to be key drug targets, especially in the area of oncology. It is of interest to explore the possibilities of protein kinases as a potential target class in Plasmodium spp., the causative agents of malaria. However, protein kinase biology in malaria is still being investigated. Therefore, rather than assaying against individual protein kinases, a library of 4731 compounds with protein kinase inhibitor-like scaffolds was screened against the causative parasite, Plasmodium falciparum. This approach is more holistic and considers the whole kinome, making it possible to identify compounds that inhibit more than one P. falciparum protein kinase, or indeed other malaria targets.

Results

As a result of this screen, 9 active compound series were identified; further validation was carried out on 4 of these series, with 3 being progressed into hits to lead chemistry. The detailed evaluation of one of these series is described.

Discussion

This screening approach proved to be an effective way to identify series for further optimisation against malaria. Compound optimisation was carried out in the absence of knowledge of the molecular target. Some of the series had to be halted for various reasons. Mode of action studies to find the molecular target may be useful when problems prevent further chemical optimisation.

Conclusions

Progressible series were identified through phenotypic screening of a relatively small focused kinase scaffold chemical library.
Hinweise

Electronic supplementary material

The online version of this article (http://​doi.​org/​10.​1186/​s12936-017-2085-4) contains supplementary material, which is available to authorized users.

Background

Resistance of Plasmodium falciparum to existing therapy is emerging rapidly [1, 2] and, therefore, much effort is being devoted to discover, develop and deliver new treatments for malaria. The Drug Discovery Unit (DDU) at the University of Dundee has assembled a number of Focused Compound Libraries tailored to certain target classes, such as kinase, protease and phosphatase inhibitors. Protein kinases have been suggested as targets for drug discovery in Plasmodium species [3, 4]. The malaria kinome is predicted to contain 85–99 protein kinases [5, 6], of which 65 belong to the eukaryotic protein kinase family and 20 belonging to the FIKK family, unique to the Apicomplexa [6, 7]. The malaria kinome also differs from the human kinome in that it does not contain tyrosine kinases [6]. Malaria kinases typically show only 35–60% sequence identity to their mammalian orthologues suggesting that selective inhibition is possible [8]. Indeed, success has been reported with inhibitors of phosphatidylinositol-4-OH kinase (PI(4)K) [9, 10], albeit this enzyme is a lipid kinase. Although 36 of the 65 eukaryotic protein kinases in P. falciparum have been genetically validated as drug targets [11], no inhibitors of these have been developed into clinical candidates to date. However, protein kinase biology in P. falciparum is still being investigated. Therefore, rather than assaying against individual protein kinases, it was decided to screen a library of compounds with protein kinase scaffolds in a whole cell assay (phenotypic screening).
Phenotypically screening potential protein kinase inhibitors has the advantage of screening the whole kinome in a more integrated way, and also gives the opportunity to consider a polypharmacology approach by identifying compounds that inhibit more than one P. falciparum protein kinase or, indeed, other targets. As part of a pilot study with Medicines for Malaria Venture (MMV), the DDU Kinase Inhibitor library [12], and the commercially available Prestwick Library [13], were screened phenotypically against P. falciparum using a DDU optimized SYBR Green assay platform [14]. As a result of further validation, characterization and expansion around key hits, this programme has yielded 9 confirmed scaffolds of interest with sub-micromolar potency.
At the time of the screen, there was no significant published work on 5 of the 9 series, although 2 of the series were part of the ongoing MMV portfolio. Further work was carried out to validate 4 of the series, 3 of which demonstrated sub-micromolar potency against P. falciparum with initial SAR and reasonable selectivity against the mammalian MRC5 cell line. The MRC5 cell line is a normal diploid human fibroblast cell line, which is commonly used as a typical counter-screen [15]. These series were chemically tractable, demonstrated excellent selectivity over a panel of mammalian kinases and thus offered excellent opportunities for good start points to enter hit-to-lead programmes.

Methods

Plasmodium falciparum screening

Cultures of 3D7, a P. falciparum chloriquine sensitive reference strain, were maintained in a 5% suspension of A+ human red blood cells (obtained from East of Scotland Blood Transfusion Service, Ninewells Hospital, Dundee, UK) cultured in RPMI 1640 medium (pH 7.3) supplemented with 0.5% Albumax II (Gibco Life Technologies, San Diego, CA, USA), 12 mM sodium bicarbonate, 0.2 mM hypoxanthine, and 20 mg/l gentamicin at 37 °C, in a humidified atmosphere of 1% O2, 3% CO2 with a balance of nitrogen. Growth inhibition was quantified using a fluorescence assay utilizing the binding of SYBR Green I to double stranded DNA, which emits a fluorescent signal at 528 nm after excitation at 485 nm. The SYBR Green assay system was adapted to maximize robustness and to align with available automation systems. The Prestwick Library then used as a pilot screen to validate the performance of the optimized assay. Mefloquine (potency range 30–60 nM) [16] was used as a drug control to monitor the quality of the assay (Z’ = 0.6–0.8, Signal to background ≥ 3, where Z’ is a measure of the discrimination between the positive and negative controls on a screening plate). Single point screens were carried out, and the potency of compounds of interest was determined in duplicate on two independent occasions. A 96-well [3H]-Hypoxanthine incorporation assay [17] was also developed as a secondary assay in order to validate key compounds from each hit series in an orthogonal platform. Compound bioactivity from both assays was expressed as EC50, the effective concentration of compound causing 50% parasite death.

Mammalian toxicity screening

A counter-screen against normal diploid human fibroblasts (MRC-5 pd30, ECACC 84101801) was carried out to exclude non-selective, and toxic compounds as previously published [18]. Cells were plated and incubated overnight to allow them to adhere as monolayers. A working stock of each test compound was transferred to an intermediate 384-well plate and pre-diluted with minimum essential media (MEM). The pre-diluted stocks were then transferred onto the cell monolayers, and the plates were incubated for 68 h. Resazurin, to a final concentration of 50 μM was added to each well, after which plates were incubated for a further 3 h and measured for fluorescence (λ ex = 528 nm, λ em = 590 nm). A standard reference compound, doxorubicin, was included on all counterscreen plates to monitor the quality of the assay (potency range 200–400 nM).

In vitro cell assay data analysis

All data were processed using IDBS ActivityBase [19]. Raw data were converted into per cent inhibition through linear regression by setting the high inhibition control as 100% and the no inhibition control as 0%. Quality control criteria for passing plates were as follows: Z’ > 0.5, S:B > 3, %CV(no inhibition control) < 15. The formula used to calculate Z’ is \( 1 - \frac{3 \times (StDev\_high + StDev\_low)}{ABS(Mean\_high - Mean\_low)} \).
All EC50 Curve fitting was undertaken using XLFit version 4.2 using Model 205 with the following 4 parametric equation: \( y = A + \frac{B - A}{{1 + ({\raise0.7ex\hbox{$C$} \!\mathord{\left/ {\vphantom {C x}}\right.\kern-0pt} \!\lower0.7ex\hbox{$x$}})^{D} }}, \) where A = % inhibition at bottom, B = % inhibition at top, C = EC50, D = slope, x = inhibitor concentration and y = % inhibition. If the curve did not reach 100% of inhibition, B was fixed to 100 when at least 50% of inhibition was reached.

Compound library

Protein kinases have been suggested as potential drug targets in malaria [3, 7]. However, rather than screen each individual kinase, a more rapid approach would be to screen the malaria parasite phenotypically. This has a number of advantages: it is not necessary to clone and overexpress each kinase and develop an individual assay; the protein kinase is in its relevant state of activation with the relevant substrates present; this only selects cell penetrant compounds and compounds that have a lethal effect; it would detect compounds that were acting on multiple proteins. The disadvantages of this approach include the unknown identity of the target(s), which could make optimization of hits problematic, particularly if there were pharmacokinetic or toxicological issues.
The Dundee library of protein kinase scaffolds was assembled as described in Brenk et al. [12]. The aim of this library was to find chemical start points for drug discovery programmes, so the molecules were deliberately kept low molecular weight, giving room for optimisation. In brief, a review of the literature and patents was carried out by industry experienced chemists to identify scaffolds that bind in the adenine pocket of all protein kinases, to the so-called hinge region. Allosteric inhibitors were not considered. The hinge region is part of the backbone that forms a hydrogen bonding network with the adenine moiety of ATP. Decoration of these scaffolds can achieve varying degrees of selectivity for particular kinases. These scaffolds were then searched for using an in silico database of 2.6 million discrete compounds compiled from the catalogues of 26 suppliers. The initial selections were further screened to eliminate non-lead like compounds, using over 100 filters based on chemically reactive groups and toxicophores. This process identified in excess of 150 scaffolds with at least one commercially available example. To limit the total number of compounds in the screening collection, a limit of the most diverse 50 examples of each scaffold was set using Tanimoto Indices to assess similarities. At the time of the screen this library contained 4731 individual compounds.

Hit discovery

The 4731 compounds from the DDU curated kinase library were screened against P. falciparum at a single concentration of 3 μM using a fluorescence-based assay. Compounds with a percentage inhibition (PI) > 30 were retested in duplicate and 120 hits were progressed to potency determination against both P. falciparum and human MRC5 cells to assess toxicity. Potency values were established using a 10-point, half-log serial dilution of each compound from a top concentration of 15 µM. Two independent assays were run. Screening data statistics were comparable with those obtained in the pilot screen.
To further establish all discovered hits, structural identity and purity of all compounds progressed to potency was confirmed by LC/MS. Fresh material was sourced by resupply or resynthesis to confirm activity in the original assay and in an orthogonal (hypoxanthine incorporation) assay.

Kinase profiling

The compounds were cherry picked from library material and tested at 10 µM. This was carried out at the International Centre for Kinase Profiling, University of Dundee [20], where the principal assay method utilized is a radioactive filter-binding assay using 33P ATP. At the time of screening, there were 76 protein kinases in the panel. Whilst this represents a relatively small proportion (~ 15%) of the mammalian kinome (518 predicted protein kinases in humans [21]), it should give an indication as to whether the compound is selective or promiscuous. The profiled compounds were checked for purity and molecular identity by LCMS.

LCMS QA

LCMS analysis of the 120 compounds progressed into EC50 determination was conducted on an Agilent technologies 1200 series LC/Agilent technologies 6130 quadrapole LC/MS, eluting with 20–90% MeCN in 0.1% aqueous formic acid. 96 of the 120 compounds had > 85% purity by diode array and confirmation of the expected mass to give an 80% pass rate.

Results

Pilot screen

In order to validate the optimized assay, the commercially available Prestwick Library (1120 compounds) was screened in duplicate at single concentration. A number of compounds with known anti-malarial properties were identified from this pilot screen, and results compare favourably with published data [22] (Fig. 1, Table 1 and Additional file 1: Table S1 for full list of the hits), thus indicating that the DDU optimized assay was fit for purpose. The final assay was demonstrated to be robust (Z’ = 0.84 ± 0.01), and reproducible (mefloquine) EC50 = 48 ± 4 nM (n = 24).
Table 1
Percentage inhibition of the growth of Plasmodium falciparum of known anti-malarials in the Prestwick Library
Name
Screening conc. (mM)
Percentage inhibition
Chloroquine diphosphate
0.004
104 ± 1
Pyrimethamine
0.008
101 ± 2
Artemisinin
0.007
100
Primaquine diphosphate
0.004
100 ± 4
Hydroquinine hydrobromide hydrate
0.005
99 ± 2
Atovaquone
0.005
99 ± 2
Mefloquine hydrochloride
0.005
97.4 ± 0.4
Proguanil hydrochloride
0.007
49 ± 4

Primary screen

The frequency distribution plot of percentage inhibition for the primary screen of the focused kinase library against P. falciparum is shown in Fig. 2a, illustrating a classical normal distribution. A cut-off of 30% inhibition was chosen to define an initial hit (3 standard deviations away from the averaged high controls). Table 2 summarizes the numerical results from the primary screen.
Table 2
Summary of primary screen
Number of compounds screened
4371
Hit identification cut-off (3 × SD from mean of 0% inhib. controls)
30%
Number of putative hits cherry picked
210
The 210 putative hits identified from the kinase set primary screen were cherry picked and retested in a duplicate single point screen (3 μM). Figure 3 shows the excellent correlation between the two replicate retest data points. For those compounds returning > 50% inhibition in the primary assay the confirmation rate to retest was 68%. 120 compounds with a percentage inhibition of > 80% were selected for progression to potency testing. Ten-point dose response curves were generated and assayed in both P. falciparum and mammalian MRC5 (human lung fibroblasts) proliferation assays. A range of potencies (Table 3) were identified against P. falciparum, with the majority of compounds being inactive in the MRC5 counter-screen with an EC50 > 15 μM.
Table 3
Kinase set potency ranges
EC50 (μM)
Number of compounds
EC50 < 1
21
1 < EC50 ≤ 3
51
3 < EC50 ≤ 10
43

Hit validation

Series classification

Hit compounds that had EC50 values of less than 1 μM were grouped into compound series using in silico core fragment identification. The sub-micromolar hits identified from screening the DDU focused kinase library were grouped into 9 compound series (summarized in Table 4). The core structures common to hits in each compound series are highlighted in red and the most active example identified in the screen exemplified with the substituents illustrated in black. Most of the compound series were apparent singletons with a large drop in activity to the second most active member of the compound series.
Table 4
Sub-micromolar hits identified from screening the DDU focused kinase library were grouped into 9 compound series
Series ID
https://static-content.springer.com/image/art%3A10.1186%2Fs12936-017-2085-4/MediaObjects/12936_2017_2085_Figb_HTML.gif
https://static-content.springer.com/image/art%3A10.1186%2Fs12936-017-2085-4/MediaObjects/12936_2017_2085_Figc_HTML.gif
https://static-content.springer.com/image/art%3A10.1186%2Fs12936-017-2085-4/MediaObjects/12936_2017_2085_Figd_HTML.gif
MMV02
MMV03
MMV04
Compound
A0002
A0003
A0004
EC50 P. falciparum (μM)
0.2
0.6
0.7
EC50 MRC5 cells (μM)
6
> 15
> 15
cLogP
4
3.2
2.9
cLogD
4
3.2
2.9
TPSA (Å2)
51
60
68
MW
342
346
405
Heavy Atoms
26
25
26
No. of examples < 1 μM
1
1
2
Validated hit series
Yes
Yes
Yes
Series ID
https://static-content.springer.com/image/art%3A10.1186%2Fs12936-017-2085-4/MediaObjects/12936_2017_2085_Fige_HTML.gif
https://static-content.springer.com/image/art%3A10.1186%2Fs12936-017-2085-4/MediaObjects/12936_2017_2085_Figf_HTML.gif
https://static-content.springer.com/image/art%3A10.1186%2Fs12936-017-2085-4/MediaObjects/12936_2017_2085_Figg_HTML.gif
MMV05
MMV06
MMV08
Compound
A0005
A0006
A0008
EC50 P. falciparum (μM)
0.01
0.04
0.6
EC50 MRC5 cells (μM)
1
> 15
0.02
cLogP
5.4
4.2
5.7
cLogD
5.4
4.2
5.7
TPSA (Å2)
71
57
70
MW
407
355
382
Heavy Atoms
31
27
27
No. of examples < 1μM
1
1
1
Validated hit series
No
No
No
Series ID
https://static-content.springer.com/image/art%3A10.1186%2Fs12936-017-2085-4/MediaObjects/12936_2017_2085_Figh_HTML.gif
https://static-content.springer.com/image/art%3A10.1186%2Fs12936-017-2085-4/MediaObjects/12936_2017_2085_Figi_HTML.gif
https://static-content.springer.com/image/art%3A10.1186%2Fs12936-017-2085-4/MediaObjects/12936_2017_2085_Figj_HTML.gif
MMV09
MMV10
MMV11
Compound
A0009
A0010
A0011
EC50 P. falciparum (μM)
0.2
0.6
0.6
EC50 MRC5 cells (μM)
> 15
> 15
6
cLogP
2.6
2.4
4.3
cLogD
2.6
2.4
3.9
TPSA (Å2)
55
67
58
MW
348
348
482
Heavy Atoms
24
23
35
No. of examples < 1μM
1
1
1
Validated hit series
No
No
No
In order to avoid overlapping the work conducted in this programme with other MMV collaborations, the series we subsequently focused upon in hit expansion were MMV02 [23], MMV03 and MMV04 [24, 25], as previously published.

Orthogonal testing with [3H]-hypoxanthine incorporation assay

The traditionally used [3H]-hypoxanthine incorporation assay is labour intensive, low throughput and requires the use of radio-labelled hypoxanthine. Therefore, it was used only to test and confirm key series representative hits that had been identified in the SYBR Green assay. The assay as developed yielded acceptable performance metrics (Z’ = 0.68 ± 0.05 and S/B > 300). In addition, mefloquine returned EC50 values of 7–10 nM in this assay, which were consistent with those reported by the SYBR Green screening platform. Table 5 demonstrates that all 9 MMV series were validated in this orthogonal platform and that the hits all returned potency values within acceptable ranges of the SYBR Green assay (ratios between 1 and 4 observed).
Table 5
Comparison of compound EC50 values obtained by fluorescent (SYBR Green), and radiometric ([3H]-hypoxanthine) assay platforms
MMV series
Compound
EC50, mM
Ratio fluorescent vs radiometric
Fluorescent
C.I. 95%, n = 4
Radiometric
C.I. 95%, n = 2
MMV02
A0002
0.23 ± 0.04
0.06 ± 0.07
4
MMV03
A0003
0.59 ± 0.12
0.15 ± 0.25
4
MMV04
A0004
0.70 ± 0.07
0.41 ± 0.47
2
MMV05
A0005
0.01 ± 0.00
0.01 ± 0.00
1
MMV06
A0006
0.04 ± 0.01
0.04 ± 0.01
1
MMV08
A0008
0.56 ± 0.09
0.30 ± 0.10
2
MMV09
A0009
0.23 ± 0.09
0.15 ± 0.09
2
MMV10
A0010
0.55 ± 0.08
0.35 ± 0.13
2
MMV11
A0011
0.64 ± 0.10
0.19 ± 0.02
3

Kinase profiling

Ten compounds across the 9 MMV series were screened in vitro against a panel of 76 mammalian kinases by the Division of Signal Transduction Therapy (DSTT) at The University of Dundee for selectivity assessment.
The selected compounds, demonstrated excellent selectivity with respect to the 76 kinases tested (Additional file 1: Table S2). The lack of cross-activity against mammalian kinases means that either the identified series are selectively inhibiting plasmodium protein kinase(s) or they have a different, non-kinase based, mode of action. Future assessment of these series against a Plasmodium kinase panel will help clarify the mode of action.

Medicinal chemistry evaluation

Further discussion on the preliminary structure activity relationships is included in Additional file 1

The series not already under development by MMV at the time of screening were MMV02, MMV03, MMV04 and MMV10. As such, efforts focused on establishing some early structure activity relationships for the 4 unexplored series.
MMV02 consists of a 1,3,5-tri-substituted pyrimidine core (Fig. 4). The work on this has recently been published [23]. The active MMV02 hit A002 possessed a 4-aminopyridine substituent as the R2 group which was unique within the compound set screened; it was hypothesized that the pyridine nitrogen may be forming a critical hydrogen bond with the molecular target. A further 23 examples of this scaffold were purchased and an additional seven examples tested using stocks of compounds in the DDU general compound set. Interestingly the five most active examples all contained a 4-aminopyridyl group at the R2 position (for instance A0021). However, A0022 was only tenfold less active than A0002. A0022 possesses a 4-trifluoromethoxyaniline instead of the 4-aminopyridine of compound A0002 (Table 6). The ether oxygen of 4-trifluoromethoxyaniline group is a very poor hydrogen bonding unit, which is unlikely to be able to form a hydrogen bond to the hinge NH of a kinase [26, 27]. This suggests that kinase inhibition is unlikely to be responsible for the mode of action for this series.
Table 6
Key MMV02 SAR
https://static-content.springer.com/image/art%3A10.1186%2Fs12936-017-2085-4/MediaObjects/12936_2017_2085_Tab6_HTML.gif
Data reported previously for A0021 [23]
MMV04 is a 2,6-disubstituted quinoline-4-carboxamide (Fig. 5). Work describing this series has been published [24, 25]. The screen identified two sub-micromolar hits, A0004 and A0031. In the hit expansion programme, 84 analogues were purchased. Modifying the R1 group had a significant effect on activity with 4-tolyl A0031 fivefold more active than A0004, (Table 7). The 3-pyridyl amide in A0004 (R2 position) could be replaced with ethyl phenyl-4-carboxylate A0024 with no significant effect on activity. The R2 region tolerated large changes to ring electronics and steric bulk (A00410), suggesting that this region is not critical for maintenance of activity. Examples A0004 and A00421 demonstrated that the bromine (R3) can be replaced with the smaller chlorine group with no loss of activity and a reduction in the MW of 55.
Table 7
MMV04 SAR
https://static-content.springer.com/image/art%3A10.1186%2Fs12936-017-2085-4/MediaObjects/12936_2017_2085_Tab7_HTML.gif
Data reported previously for A0031 [24, 25]
MMV10 was identified as a singleton from the screen. The series was defined as a 3,5,7-trisubstituted 3-hydroxy-indolin-2-one (Fig. 6). The hit compound A0010 possesses a 2-methylimidazo[1,2-a]pyridin-3-yl which could be responsible for a critical hydrogen bond, Table 4. The initial hit was no longer commercially available. An additional 15 examples were purchased, none of which were progressed into EC50 determination. MMV10 could not be validated as a hit series nor has the original hit been reconfirmed. In order for MMV10 to be progressed further, the original hit would need to be re-synthesized along with some close analogues.
Following hit validation, the hit to lead and lead optimisation medicinal chemistry programmes for series MMV02 and MMV04 have been published elsewhere [2325].

MMV03 validation and hit expansion

MMV03 has a 1,3-disubstituted pyrazole-4-carboxamide core (Fig. 7). Only one sub-micromolar hit, A0003, was identified following screening, Table 8. A further 62 analogues were sourced and tested single point at 10 μM; of these, 11 compounds active in single point were progressed into EC50 determination returning EC50 values ranging from 0.32 to 7.2 µM. A0003 remained the most active example in this series. All examples with EC50 values less than 10 µM have a pyridine-like (H-bond acceptor) nitrogen containing group on the amide, though the nitrogen can be orientated in the 2, 3 or 4 position for instance compounds A0003, A0032, and A0033.
Table 8
MMV03 SAR
https://static-content.springer.com/image/art%3A10.1186%2Fs12936-017-2085-4/MediaObjects/12936_2017_2085_Tab8_HTML.gif
The most active compound of the original hit series displayed moderate activity in vitro and good selectivity index (> 100-fold) against human MRC-5 cell line (Table 8). However, the ligand-lipophilicity efficiency (LLE or LiPE) [28] was low and the calculated property forecast index (cPFI) [29], an indicator of compound development potential, was unfavourably high. The aim of the initial hit optimization programme was to improve both the physicochemical properties and potency of this series (with an aim of Pf EC50 (3D7) < 0.1 μM).
Initial modifications were directed towards improving the physicochemical properties of the compounds, particularly reducing lipophilicity and the number of aromatic rings and therefore reducing cPFI. Large numbers of aromatic rings are associated with poor compound development potential [30, 31]. The substituents R1, R2 and R3 (see Fig. 7 and Table 8 for definitions of the R groups) were aromatic rings in the initial hit.
First, the amide substituent (R3) was extensively explored. All compounds with activity below 1 μM have either a pyridine or a 2-benzoimidazole moiety at the R3 position. Five membered ring heterocycles, basic and alkyl substituents, with improved cPFI, at the R3 position led to a drop in potency. The R2 substituent could tolerate thiophene, pyridine and phenyl rings but compounds with an alkyl substituent, methyl or isopropyl, showed a significantly drop in activity (EC50 > 10 μM). Finally, the aromatic ring at R1 tolerated an electron withdrawing (CN) and donating (F) groups. However, replacement of the aromatic ring with an alkyl group (tert-butyl and methyl) was not tolerated.
Therefore, none of 3 aromatic substituents on MMV03 scaffold could be replaced by an alkyl group making the optimization of physicochemical properties problematic. Additionally, the potency and LLE of the hit has not been improved. As a result work on this series was discontinued.

Conclusion

A P. falciparum SYBR Green assay platform has been adapted to robotics available in the University of Dundee DDU, demonstrating robust, reproducible output with performance and results to match the traditionally used [3H]-hypoxanthine incorporation assay. Phenotypic screening of an in-house protein kinase inhibitor library identified 9 chemical scaffolds. All series were confirmed using a combination of LCMS QA of the DMSO library stocks and hit repurchasing where possible. Furthermore, 4 of the 9 compound series (MMV10, MMV02, MMV03, MMV04) were further validated as hit series through hit expansion with commercially available compounds. Of these validated series, 3 compound series showed some early SAR, were chemically tractable, and had not previously been developed as potential anti-malarial drugs. These start points were suitable for progression into hit to lead programs for novel anti-malarial therapy.
Whilst the screening library was based on scaffolds designed to bind to the hinge region of eukaryotic protein kinases, there is no evidence that the compounds actually function in this manner. Indeed, the only series for which information is available is the MMV04 series, where the preclinical candidate targets eukaryotic elongation factor 2 (eEF2) involved in protein synthesis [24]. Further work will be required to elucidate the mode of action of the other hit series using approaches such as protein kinase profiling, whole genome sequencing of resistant mutants or chemical proteomics.

Authors’ contributions

IH and RG set up and carried out the malaria assays. IH set up and carried out the MRC-5 assays. AW, TL and DS analysed the data from the screen. DJ managed the data. BB carried out the synthesis and analysis of the data. DL and DW provided project support. AHF, PGW, IHG, and JAF managed the project. IH, BB, DL, AHF, and IHG wrote the manuscript. All authors read and approved the final manuscript.

Acknowledgements

Medicines for Malaria Venture is acknowledged for funding. IH and RG thank Dr. Jonathan Nunes and Prof Sylke Muller, for assistance with training and the re-introduction of Plasmodium culture to University of Dundee. The Division of Signal Transduction Therapy at The University of Dundee is acknowledged for screening against mammalian protein kinases. Scottish National Blood Transfusion service, at Ninewells Hospital Dundee, is thanked for supply of red blood cells.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

All relevant data are disclosed in this publication.
Not applicable.
Not applicable; no human subjects or tissue involved.

Funding

This project was funded primarily by Medicines for Malaria Venture. We also like to acknowledge The Wellcome Trust for funding (Grant No. 083481).

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Metadaten
Titel
Screening a protein kinase inhibitor library against Plasmodium falciparum
verfasst von
Irene Hallyburton
Raffaella Grimaldi
Andrew Woodland
Beatriz Baragaña
Torsten Luksch
Daniel Spinks
Daniel James
Didier Leroy
David Waterson
Alan H. Fairlamb
Paul G. Wyatt
Ian H. Gilbert
Julie A. Frearson
Publikationsdatum
01.12.2017
Verlag
BioMed Central
Erschienen in
Malaria Journal / Ausgabe 1/2017
Elektronische ISSN: 1475-2875
DOI
https://doi.org/10.1186/s12936-017-2085-4

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