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16 p.-8 fig.-4 tab., The L-arginine biosynthesis pathway consists of eight enzymes that catalyse the conversion of L-glutamate to L-arginine. Arginine auxotrophs (argB/argF deletion mutants) of Mycobacterium tuberculosis are rapidly sterilised in mice, while inhibition of ArgJ with Pranlukast was found to clear chronic M. tuberculosis infection in a mouse model. Enzymes in the arginine biosynthetic pathway have therefore emerged as promising targets for anti-tuberculosis drug discovery. In this work, the ligandability of four enzymes of the pathway ArgB, ArgC, ArgD and ArgF is assessed using a fragment-based approach. We identify several hits against these enzymes validated with biochemical and biophysical assays, as well as X-ray crystallographic data, which in the case of ArgB were further confirmed to have on-target activity against M. tuberculosis. These results demonstrate the potential for more enzymes in this pathway to be targeted with dedicated drug discovery programmes., This work was funded by Bill and Melinda Gates Foundation HIT-TB (OPP1024021) and SHORTEN-TB (OPP1158806). PG was funded by a Gates Cambridge Scholarship. TLB is funded by the Wellcome Trust (Wellcome Trust Investigator Award 200814_Z_16_Z: RG83114). ST acknowledges SC1GM140968 grant from National Institute of Health to support this work.

13 p.-7 fig.-5 tab.-1 graph. abst., A previous phenotypic screening campaign led to the identification of a quinazoline derivative with promising in vitro activity against Schistosoma mansoni. Follow-up studies of the antischistosomal potential of this candidate are presented here. The in vivo studies in a S. mansoni mouse model show a significant reduction of total worms and a complete disappearance of immature eggs when administered concomitantly with praziquantel in comparison with the administration of praziquantel alone. This fact is of utmost importance because eggs are responsible for the pathology and transmission of the disease. Subsequently, the chemical optimisation of the structure in order to improve the metabolic stability of the parent compound was carried out leading to derivatives with improved drug-like properties. Additionally, the putative target of this new class of antischistosomal compounds was envisaged by using computational tools and the binding mode to the target enzyme, aldose reductase, was proposed., This study received funding from the EC 7th Framework Programme (FP7-HEALTH-2013-INNOVATION-1, PDE4NPD no.602666), RICET (RD16/0027/0010), FEDER funds and MECD [Grant FPU15/1465 to V. S.-P.].

9 p.-5 fig.-2 tab., We report the evaluation of 265 compounds from a PDE-focused library for their antischistosomal activity, assessed in vitro using Schistosoma mansoni. Of the tested compounds, 171 (64%) displayed selective in vitro activity, with 16 causing worm hypermotility/spastic contractions and 41 inducing various degrees of worm killing at 100 μM, with the surviving worms displaying sluggish movement, worm unpairing and complete absence of eggs. The compounds that did not affect worm viability (n=72) induced a complete cessation of ovipositing. 82% of the compounds had an impact on male worms whereas female worms were barely affected. In vivo evaluation in S. mansoni-infected mice with the in vitro ‘hit’ NPD-0274 at 20 mg/kg/day orally for 5 days resulted in worm burden reductions of 29% and intestinal tissue egg load reduction of 35% at 10 days posttreatment.Combination of praziquantel (PZQ) at 10 mg/kg/day for 5 days with NPD-0274 or NPD-0298 resulted in significantly higher worm killing than PZQ alone, as well as a reduction in intestinal tissue egg load, disappearance of immature eggs and an increase in the number of dead eggs., This work is part of the PDE4NPD consortium supported by Framework Program 7 of the European Commission No: 602666.Funding from RICET/FEDER funds (RD16/0027/0010), and the Ministry of Education, Culture and Sport (MECD) of Spain (Grant FPU15/1465 to V. S.-P.) is also acknowledged. Y. Z. was supported by a grant of the Chinese Science Council; A. R. B. and I. J. P. dE. were supported by the Netherlands Science Foundation.

Antibiotic resistance is spreading worldwide and it has become one of the most important issues in modern medicine. In this context, the bacterial RNA degradation and processing machinery are essential processes for bacterial viability that may be exploited for antimicrobial therapy. In Staphylococcus aureus, RnpA has been hypothesized to be one of the main players in these mechanisms. S. aureus RnpA is able to modulate mRNA degradation and complex with a ribozyme (rnpB), facilitating ptRNA maturation. Corresponding small molecule screening campaigns have recently identified a few classes of RnpA inhibitors, and their structure activity relationship (SAR) has only been partially explored. Accordingly, in the present work, using computational modeling of S. aureus RnpA we identified putative crucial interactions of known RnpA inhibitors, and we used this information to design, synthesize, and biologically assess new potential RnpA inhibitors. The present results may be beneficial for the overall knowledge about RnpA inhibitors belonging to both RNPA2000-like thiosemicarbazides and JC-like piperidine carboxamides molecular classes. We evaluated the importance of the different key moieties, such as the dichlorophenyl and the piperidine of JC2, and the semithiocarbazide, the furan, and the i-propylphenyl ring of RNPA2000. Our efforts could provide a foundation for further computational-guided investigations.

The L-arginine biosynthesis pathway consists of eight enzymes that catalyse the conversion of L-glutamate to L-arginine, appears to be attractive target for anti-Tuberculosis (TB) drug discovery. Starvation of M. tuberculosis deleted for either argB or argF genes led to rapid sterilization of these strains in mice while Chemical inhibition of ArgJ with Pranlukast was also found to clear chronic M. tuberculosis infection in animal models. In this work, the ligandability of four enzymes of the pathway ArgB, ArgC, ArgD and ArgF is explored using a fragment-based approach. We reveal several hits for these enzymes validated with biochemical and biophysical assays, and X-ray crystallographic data, which in the case of ArgB were further confirmed to have on-target activity against M. tuberculosis. These results demonstrate the potential of more enzymes in this pathway to be targeted with dedicated drug discovery programmes.

36 p.-6 fig.-4 tab., Pathogenic and opportunistic free-living amoebae such as Acanthamoeba spp. can cause keratitis (Acanthamoeba keratitis [AK]), which may ultimately lead to permanent visual impairment or blindness. Acanthamoeba can also cause rare but usually fatal granulomatous amoebic encephalitis (GAE). Current therapeutic options for AK require a lengthy treatment with nonspecific drugs that are often associated with adverse effects. Recent developments in the field led us to target cAMP pathways, specifically phosphodiesterase. Guided by computational tools, we targeted the Acanthamoeba phosphodiesterase RegA. Computational studies led to the construction and validation of a homology model followed by a virtual screening protocol guided by induced-fit docking and chemical scaffold analysis using our medicinal and biological chemistry (MBC) chemical library. Subsequently, 18 virtual screening hits were prioritized for further testing in vitro against Acanthamoeba castellanii, identifying amoebicidal hits containing piperidine and urea imidazole cores. Promising activities were confirmed in the resistant cyst form of the amoeba and in additional clinical Acanthamoeba strains, increasing their therapeutic potential. Mechanism-of-action studies revealed that these compounds produce apoptosis through reactive oxygen species (ROS)-mediated mitochondrial damage. These chemical families show promise for further optimization to produce effective antiacanthamoebal drugs., Funding from RICET (RD16/0027/0010) and (RD16/0027/0001), FEDER funds (PI18/01380), MECD (Grant FPU15/1465 to V. S.-P.) is acknowledged, M. R. B. was also funded by RICET and I. S. was funded by Agustin de Betancourt Programme.

22 p.-6 fig.-4 tab., Filamentous temperature-sensitive Z (FtsZ) is a prokaryotic protein with an essential role in the bacterial cell division process. It is widely conserved and expressed in both Gram-positive and Gram-negative strains. In the last decade, several research groups have pointed out molecules able to target FtsZ in Staphylococcus aureus, Bacillus subtilis and other Gram-positive strains, with sub-micromolar Minimum Inhibitory Concentrations (MICs). Conversely, no promising derivatives active on Gram-negatives have been found up to now. Here, we report our results on a class of benzamide compounds, which showed comparable inhibitory activities on both S. aureus and Escherichia coli FtsZ, even though they proved to be substrates of E. coli efflux pump AcrAB, thus affecting the antimicrobial activity. These surprising results confirmed how a single molecule can target both species while maintaining potent antimicrobial activity. A further computational study helped us decipher the structural features necessary for broad spectrum activity and assess the drug-like profile and the on-target activity of this family of compounds.

68 p.-17 fig.-1 tab. Chierrito, Talita P. C. et al., The lack of an effective treatment for Alzheimer' disease (AD), an increasing prevalence and severe neurodegenerative pathology boost medicinal chemists to look for new drugs. Currently, only acethylcholinesterase (AChE) inhibitors and glutamate antagonist have been approved to the palliative treatment of AD. Although they have a short-term symptomatic benefits, their clinical use have revealed important non-cholinergic functions for AChE such its chaperone role in beta-amyloid toxicity. We propose here the design, synthesis and evaluation of non-toxic dual binding site AChEIs by hybridization of indanone and quinoline heterocyclic scaffolds. Unexpectely, we have found a potent allosteric modulator of AChE able to target cholinergic and non-cholinergic functions by fixing a specific AChE conformation, confirmed by STD-NMR and molecular modeling studies. Furthermore the promising biological data obtained on human neuroblastoma SH-SY5Y cell assays for the new allosteric hybrid 14, led us to propose it as a valuable pharmacological tool for the study of non-cholinergic functions of AChE, and as a new important lead for novel disease modifying agents against AD., Financial support of this research provided by the Fundação de Pesquisa e Amparo do Estado de São Paulo-FAPESP (Proc. 12/04054-5; 12/14114-5; 13/50788-3; 14-10414-0); Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), CSIC (grant no. i-LINK-0801) and MINECO (grants no. SAF2016-76693-R to A.M., and CTQ2015-64597-C2-1 to J.J.B. and F.J.C.) is acknowledged

49 p.-1 graph. abst.-8 fig.-1 tab.-4 fig. supl.-3 tab. supl., Aim: Due to the urgent need for effective drugs to treat schistosomiasis that act through a known molecular mechanism of action, we focused on a target-based approach with the aim to discover inhibitors of a cyclic nucleotide phosphodiesterase from Schistosoma mansoni (SmPDE4A)., Materials & methods: To discover new inhibitors of SmPDE4A homology models of the enzyme structure were constructed based on known human and protozoan homologs. The best two models were selected for subsequent virtual screening of our in-house chemical library., Results & conclusion: A total of 25 library compounds were selected for experimental confirmation as SmPDE4A inhibitors and after dose-response experiments, three top hits were identified. The results presented validate the virtual screening approach to identify new inhibitors for clinically relevant phosphodiesterases., EC 7 th Framework Programme (FP7-HEALTH-2013-INNOVATION-1, PDE4NPD no. 602666), RICET (RD16/0027/0010),FEDER funds and MECD (Grant FPU15/1465 to V. S.-P. and FPU13/00362 to J. Z.-D.)is acknowledged.

8 p.-3 fig.-3 tab., Parkinson's disease is one of the most common neurodegenerative illnesses in older persons and the leucine-rich repeat kinase 2 (LRRK2) is an auspicious target for its pharmacological treatment. In this work, quantitative structure-activity relationship (QSAR) models for identification of putative inhibitors of LRRK2 protein are developed by using an in-house chemical library and several machine learning techniques. The methodology applied in this paper has two steps: first, alternative subsets of molecular descriptors useful for characterizing LRRK2 inhibitors are chosen by a multi-objective feature selection method; secondly, QSAR models are learned by using these subsets and three different strategies for supervised learning. The qualities of all these QSAR models are compared by classical metrics and the best models are discussed in statistical and physicochemical terms., This work is kindly supported by CONICET, Funder Id: 10.13039/501100002923, grant PIP 112-2012-0100471 and UNS, Funder Id: 10.13039/501100007869, grants PGI 24/N042 and PGI 24/ZM17. We also acknowledge MECD, VSP grant FPU15/01465, Funder Id: 10.13039/501100003176 and Banco Santander for Funder Id: 10.13039/100010784, VSP fellowship AY21/17-D-27 in the “Becas Iberoamerica-Santander Investigación” program.

13 p.-6 fig.-5 tab., Alzheimer's disease is one of the most common neurodegenerative disorders in elder population. The β-site amyloid cleavage enzyme 1 (BACE1) is the major constituent of amyloid plaques and plays a central role in this brain pathogenesis, thus it constitutes an auspicious pharmacological target for its treatment. In this paper, a QSAR model for identification of potential inhibitors of BACE1 protein is designed by using classification methods. For building this model, a database with 215 molecules collected from different sources has been assembled. This dataset contains diverse compounds with different scaffolds and physical-chemical properties, covering a wide chemical space in the drug-like range. The most distinctive aspect of the applied QSAR strategy is the combination of hybridization with backward elimination of models, which contributes to improve the quality of the final QSAR model. Another relevant step is the visual analysis of the molecular descriptors that allows guaranteeing the absence of information redundancy in the model. The QSAR model performances have been assessed by traditional metrics, and the final proposed model has low cardinality, and reaches a high percentage of chemical compounds correctly classified., This work is kindly supported by CONICET, grant PIP 112–2012–0100471, by UNS, grants PGI 24/N042 and PGI 24/ZM17, Ministerio de Economía y Competitividad (CTQ2015-66313-R) and by MINCYT, for their economic support given to IP in the “6° Programa de Movilidad Docente a Madrid”.

13 p.-5 fig.-2 tab.-1 graph.abs + supp.inf. 38 p.-2 fig.supl.-5 tab. supl., Previous reports have validated the glycogen synthase kinase-3 (GSK-3) as a druggable target against the human protozoan parasite Leishmania. This prompted us to search for new leishmanicidal scaffolds as inhibitors of this enzyme from our in-house library of human GSK-3β inhibitors, as well as from the Leishbox collection of leishmanicidal compounds developed by GlaxoSmithKline. As a result, new leishmanicidal inhibitors acting on Leishmania GSK-3 at micromolar concentrations were found. These inhibitors belong to six different chemical classes (thiadiazolidindione, halomethylketone, maleimide, benzoimidazole, N-phenylpyrimidine-2-amine and oxadiazole). In addition, the binding mode of the most active compounds into Leishmania GSK-3 was approached using computational tools. On the whole, we have uncovered new chemical scaffolds with an appealing prospective in the development and use of Leishmania GSK-3 inhibitors against this infectious protozoan., Funding from MINECO [Grant SAF2015-65740-R], Instituto de Salud Carlos III RETICS programme RICET [RD16/0027/0010] with associated FEDER funds and MECD [Grant FPU15/1465 to V. S.-P.] is acknowledged. P. M. acknowledges the contract from the European Social Fund (Youth Employment Initiative) and FEDER funds.

16 p.-7 fig.-4 tab., FtsZ is a crucial prokaryotic protein involved in bacterial cell replication. It recently arose as a promising target in the search for antimicrobial agents able to fight antimicrobial resistance. In this work, going on with our structure-activity relationship (SAR) study, we developed variously 7-substituted 1,4-benzodioxane compounds, linked to the 2,6-difluorobenzamide by a methylenoxy bridge. Compounds exhibit promising antibacterial activities not only against multidrug-resistant Staphylococcus aureus, but also on mutated Escherichia coli strains, thus enlarging their spectrum of action toward Gram-negative bacteria as well. Computational studies elucidated, through a validated FtsZ binding protocol, the structural features of new promising derivatives as FtsZ inhibitors.

11 p.-9 fig.-3 tab., Numerous studies have highlighted the implications of the glycogen synthase kinase 3 (GSK-3) in several processes associated with Alzheimer's disease (AD). Therefore, GSK-3 has become a crucial therapeutic target for the treatment of this neurodegenerative disorder. Hereby, we report the design and multistep synthesis of ethyl 4-oxo-pyrazolo[4,3-d][1-3]triazine-7-carboxylates and their biological evaluation as GSK-3 inhibitors. Molecular modelling studies allow us to develop this new scaffold optimising the chemical structure. Potential binding mode determination in the enzyme and the analysis of the key features in the catalytic site are also described. Furthermore, the ability of pyrazolotriazinones to cross the blood-brain barrier (BBB) was evaluated by passive diffusion and those who showed great GSK-3 inhibition and permeation to the central nervous system (CNS) showed neuroprotective properties against tau hyperphosphorylation in a cell-based model. These new brain permeable pyrazolotriazinones may be used for key in vivo studies and may be considered as new leads for further optimisation for the treatment of AD., Funding from MINECO (grant no. SAF2016-76693-R to A.M.) and MEC (FPU15/1465 to VSP.), CONICET and SECYT-UNC are also acknowledged.

The available treatments for leishmaniasis are less than optimal due to inadequate efficacy, toxic side-effects and the emergence of resistant strains, clearly endorsing the urgent need for discovery and development of novel drug candidates. Ideally, these should act via an alternative mechanism-of-action to avoid cross-resistance with the current drugs. As cyclic nucleotide specific phosphodiesterases (PDEs) of L. major have been postulated as putative drug targets, a series of potential inhibitors of Leishmania PDEs was explored. Several displayed potent and selective in vitro activity against L. infantum intracellular amastigotes. One imidazole derivative, compound 35, was shown to reduce the parasite loads in vivo and dose-dependently increase the cellular cAMP level at just 2* and 5* the IC50, indicating a correlation between antileishmanial activity and increased cellular cAMP. Docking studies and molecular dynamics simulations pointed to imidazole 35 exerting its activity through PDE inhibition. This study establishes for the first time that inhibition of cAMP PDEs can potentially be exploited for new antileishmanial chemotherapy., Funding from the EC 7th Framework Programme (FP7-HEALTH-2013 INNOVATION-1, PDE4NPD no. 602666), MINECO (Grant SAF2015-65740-R), RICET (RD16/0027/0010), FEDER funds and MECD (Grant FPU15/1465 to V. S.-P.) is acknowledged.

15 p.-10 fig.-5 tab., Allosteric sites on proteins are targeted for designing more selective inhibitors of enzyme activity and to discover new functions. Acetylcholinesterase (AChE), which is most widely known for the hydrolysis of the neurotransmitter acetylcholine, has a peripheral allosteric subsite responsible for amyloidosis in Alzheimer's disease through interaction with amyloid β-peptide. However, AChE plays other non-hydrolytic functions. Here, we identify and characterise using computational tools two new allosteric sites in AChE, which have allowed us to identify allosteric inhibitors by virtual screening guided by structure-based and fragment hotspot strategies. The identified compounds were also screened for in vitro inhibition of AChE and three were observed to be active. Further experimental (kinetic) and computational (molecular dynamics) studies have been performed to verify the allosteric activity. These new compounds may be valuable pharmacological tools in the study of non-cholinergic functions of AChE., We thank to Ministerio de Educación, Cultura y Deporte (Grant of V.S.P, FPU15/01465 and Grant of N.E.C., Programa “Salvador de Madariaga” PR2015–00476).

Alzheimer's disease (AD) is the most common form of dementia worldwide with an increasing prevalence for the next years. The multifactorial nature of AD precludes the design of new drugs directed to a single target being probably one of the reasons for recent failures. Therefore, dual binding site acetylcholinesterase (AChE) inhibitors have been revealed as cognitive enhancers and β-amyloid modulators offering an alternative in AD therapy field. Based on the dual ligands NP61 and donepezil, the present study reports the synthesis of a series of indolylpiperidines hybrids to optimize the NP61 structure preserving the indole nucleus, but replacing the tacrine moiety of NP61 by benzyl piperidine core found in donepezil. Surprisingly, this new family of indolylpiperidines derivatives showed very potent and selective hBuChE inhibition. Further studies of NMR and molecular dynamics have showed the capacity of these hybrid molecules to change their bioactive conformation depending on the binding site, being capable to inhibit with different shapes BuChE and residually AChE., Financial support of this research provided by the Fundaç~ao de Pesquisa e Amparo do Estado de S~ao Paulo-FAPESP (Proc.12/04054- 5; 12/14114-5; 13/50788-3; 14/10414-0; 17/04695-4); Coordenaç~ao de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), CSIC (grant no. i-LINK-0801) and MINECO (grants no. SAF2016-76693-R to A.M., CTQ 2016-76263 to A.C. and CTQ 2015- 64597-C2-2 to F.J.C.) is acknowledged. Authors want to express their gratitude to Prof. G. Pepeu for the experimental work in target engagement.

8 p.-3 fig.-2 tab. 12th International Conference on Practical Applications of Computational Biology and Bioinformatics, PACBB 2018; Toledo; Spain; 20 June 2018 through 22 June 2018; Code 217169, Parkinson’s disease is one of the most common neurodegenerative disorders in elder people and the leucine-rich repeat kinase 2 (LRRK2) is a promising target for its pharmacological treatment. In this paper, QSAR models for identification of potential inhibitors of LRRK2 protein are designed by using an in house chemical library and several machine learning methods. The applied methodology works in two steps: first, several alternative subsets of molecular descriptors relevant for characterizing LRRK2 inhibitors are identified by a feature selection software tool; secondly, QSAR models are inferred by using these subsets and three different methods for supervised learning. The performance of all these QSAR models are assessed by traditional metrics and the best models are analyzed in statistical and physicochemical terms., This work is kindly supported by CONICET, grant PIP 112-2012-0100471 and UNS, grants PGI 24/N042 and PGI 24/ZM17. We also acknowledge MECD, VSP grant FPU15/01465 and Banco Santander for VSP fellowship AY21/17-D-27 in the “Becas Iberoamerica-Santander Investigación” program.

Neglected tropical diseases represent a significant health burden in large parts of the world. Drug discovery is currently a key bottleneck in the pipeline of these diseases. In this chapter, the in silico approaches used for the processes involved in drug discovery, identification and validation of druggable Leishmania targets, and design and optimisation of new anti-leishmanial drugs are discussed. We also provide a general view of the different computational tools that can be employed in pursuit of this aim, along with the most interesting cases found in the literature.

46 p.-7 fig.-1 tab., Leucine-rich repeat kinase 2 (LRRK2) is one of the most pursued targets for Parkinson’s disease (PD) therapy. Moreover, it has recently described its role in regulating Wnt signaling and thus, it may be involved in adult neurogenesis. This new hypothesis could give rise to double disease-modifying agents firstly by the benefits of inhibiting LRRK2 and secondly by promoting adult neurogenesis. Herein we report, the design, synthesis, biological evaluation, SAR and potential binding mode of indolinelike LRRK2 inhibitors and their preliminary neurogenic effect in neural precursor cells isolated from adult mice ventricular-subventricular zone. These results open new therapeutic horizons for the use of LRRK2 inhibitors as neuroregenerative agents.Moreover, the indolinone derivatives here prepared, inhibitors of the kinase activity of LRRK2, may be considered as pharmacological probes to study the potential neuroregeneration of the damaged brain., Financial support from MINECO (grant no. SAF2012-37979-C03-01 and RTC-2015-3439-1 to A. M. and BFU2014-57494-R to A. V. M), MECD (FPU13-003262 to J. Z.D.).

19 p.-12 fig.-5 tab. Ponzoni, Ignacio et al., Quantitative structure–activity relationship modeling using machine learning techniques constitutes a complex computational problem, where the identification of the most informative molecular descriptors for predicting a specific target property plays a critical role. Two main general approaches can be used for this modeling procedure: feature selection and feature learning. In this paper, a performance comparative study of two state-of-art methods related to these two approaches is carried out. In particular, regression and classification models for three different issues are inferred using both methods under different experimental scenarios: two drug-like properties, such as blood-brainbarrier and human intestinal absorption, and enantiomeric excess, as a measurement of purity used for chiral substances. Beyond the contrastive analysis of feature selection and feature learning methods as competitive approaches, the hybridization of these strategies is also evaluated based on previous results obtained in material sciences. From the experimental results, it can be concluded that there is not a clear winner between both approaches because the performance depends on the characteristics of the compound databases used for modeling. Nevertheless, in several cases, it was observed that the accuracy of the models can be improved by combining both approaches when the molecular descriptor sets provided by feature selection and feature learning contain complementary information., This work was supported by Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) [Grant number 112-2012-0100471 and PIP 114-2011-0100362], the Secretaría de Ciencia y Tecnología of the Universidad Nacional del Sur (UNS) [Grant numbers 24/N032, 24/ZN26] and MINECO (Spain) [project CTQ2015-66313-R and CTQ2015-66954-P MINECO/FEDER]. Dr. Ponzoni did this work as a visiting researcher at the Centro de Investigaciones Biológicas (CIB-CSIC) at Madrid (Spain). The authors would like to express their acknowledgment to the 6° Programa de Movilidad Docente a Madrid of the Secretaría de Políticas Universitarias (SPU), Ministerio de Educación de la República Argentina, for their economic support given for Dr. Ponzoni’s visit. Víctor Sebastián-Pérez acknowledges a predoctoral fellowship from MINECO [FPU15/01465].

27 p.-8 fig.-2 tab., Invasive aspergillosis (IA) is one of the most severe forms of fungi infection. IA disease is mainly due to Aspergillus fumigatus, an air-borne opportunistic pathogen. Mortality rate caused by IA is still very high (50–95%), because of difficulty in early diagnostics and reduced antifungal treatment options, thus new and efficient drugs are necessary. The aim of this work is, using Aspergillus nidulans as non-pathogen model, to develop efficient drugs to treat IA. The recent discovered role of glycogen synthase kinase-3 homologue, GskA, in A. fumigatus human infection and our previous experience on human GSK-3 inhibitors focus our attention on this kinase as a target for the development of antifungal drugs. With the aim to identify effective inhibitors of colonial growth of A. fumigatus we use A. nidulans as an accurate model for in vivo and in silico studies. Several well-known human GSK-3β inhibitors were tested for inhibition of A. nidulans colony growth. Computational tools as docking studies and binding site prediction was used to explain the different biological profile of the tested inhibitors. Three of the five tested hGSK3β inhibitors are able to reduce completely the colonial growth by covalent bind to the enzyme. Therefore these compounds may be useful in different applications to eradicate IA., SAF2012-37979-C03-01to A.M; BFU2012-33142 to E.A.E (MINECO)