Plants are exposed to manifold environmental factors, biotic and abiotic, that affect their lifetime reproductive success. To cope with the different types of environmental stress, plants have evolved different mechanisms, ranging from morpho-anatomical, physiological, biochemical, molecular and epigenetic modifications, among others (Lamalakshmi et al., 2017). An ubiquitous defensive mechanism that protects plants from physical and biotic stresses is represented by the synthesis of specialized metabolites (SM; the so-called “secondary metabolites”). Thousands of chemical compounds found in plants promote protection against plants’ natural enemies (i.e., pathogens, viruses and herbivores) (Mithöfer & Boland, 2008). More than 40,000 and 12,000 terpenoids and alkaloids, respectively, have been described in plants (Zhou & Pichersky, 2020).
Tropane alkaloids (TAs) and Terpene synthases (TPSs) are important specialized molecules of plants that help to protect them from herbivores and pathogens (Kessler & Baldwin, 2002). Tropane alkaloids are distinctive, but not exclusive, of Solanaceae (Wink, 2003; Mithöfer & Boland, 2008; Pigatto et al., 2015) and in Datura stramonium, implicated in plant defense to herbivores (Shonle & Bergelson, 2000; Castillo et al., 2014; Miranda-Pérez et al., 2016). Terpene synthases are enzymatic genes involved in the synthesis of volatile organic compounds (VOCs) in many organisms (Picazo-Aragonés, Terrab & Balao, 2020). Alkaloids and VOCs negatively affect herbivores. The concentration of VOCs may even rise before herbivores start to feed (Heil, Lion & Boland, 2008). Recent molecular studies in plants indicate modifications in the expression of SM as defense mechanisms (Mithöfer & Boland, 2008). Such modifications may result from the composition of the herbivore community, their abundance and dominance (Koerner et al., 2018). In this study we present a bioinformatic analysis of the changes in genes involved in the synthesis of tropane alkaloids and terpene synthases in Solanaceae, with particular attention to Datura stramonium. Gene modifications may include changes in the regulatory sequence or in the dominion, in the length of genes (including duplication), and post-transduction modifications (Defoort, Van de Peer & Carretero-Paule, 2019). Here, we analyze events of duplication in Solanaceae, with reference to whether duplicates are involved in modifications of biosynthetic pathways of TAs and TPSs.
Generally, copies of genes can have different fates. If different copies are retained, they may undergo sub-functionalization, dividing the original function. Alternatively, one copy may undergo neofunctionalization, acquiring a new function. However, the most frequent outcome is pseudogenization, whereby one copy becomes non-functional (pseudogene) and tends to disappear due to accumulation of deleterious mutations. A pseudogene shows strong similarity to the parental copy, which encodes a particular protein, but has one or more alterations such as premature stop codons, mutations that cause phase changes, deletions and/or insertions that prevent a protein from being functional (Ohno, 1970). It has been reported that in some species the retention of pseudogenes for a long time only accumulates neutral mutations. However, several questions arise regarding the survival mode of these inactivated genes (Ohno, 1970; Lynch & Conery, 2003; Conan & Wolfe, 2008; Wang et al., 2012). Some retained functions maintain developmental homeostasis, for instance, the ability to rapid respond to a wide variety of environmental cues (Huot et al., 2014). One first defense response of plants involves the activation of signaling mechanisms (De-la-Cruz, Velázquez-Márquez & Núñez Farfán, 2020), and therefore protein turnover. It is estimated that more than 80% of the proteins are degraded through the proteosome pathway (Maltsev et al., 2005). In recent years it has been reported that the responses of specialized metabolites are grouped into several multigenic families. Therefore, we aim to elucidate the evolutionary process of two gene families, TAs (Tropane alkaloids) and TPSs (terpenes synthases) (Karunanithi & Zerbe, 2019; De-la-Cruz et al., 2021). Studies conducted in Solanaceae have found rapid responses to biotic and abiotic stimuli, in a matter of minutes, of genes involved in the synthesis of specialized metabolites (atropine, scopolamine, VOCs) (Brille, Loreto & Baccelli, 2019). To date, several groups have reported different TAs and TPSs and have found similar results (De-la-Cruz, Velázquez-Márquez & Núñez Farfán, 2020).
In this study we analyze the evolutionary history of genes involved in the synthesis of tropane alkaloids and terpene synthase in the Solanaceae family and specifically in draft genomes of two plants of Datura stramonium from populations of México (Ticumán and Teotihuacán). Overall, our bioinformatic analyses infer duplication of the genes of the main biosynthetic pathways leading to specialized metabolites.
Materials and Methods
Selection and bioinformatic analyses: identification of TAs and TPs, genomics, transcripts and protein sequences
We obtained the sequences of nucleotide, transcripts and proteins of TAs and TPSs. Nine genomes (Table 1) of Solanaceae species were sourced for protein coding genes and CDS (Coding Sequence) genomes from the Sol Genomics Network (see links in Table 1): Nicotiana tabacum (Edwards et al., 2017), Nicotiana sylvestris (Sierro et al., 2013), Nicotiana attenuata (Xu et al., 2017), Nicotiana tomentosiformis (Sierro et al., 2013), Solanum pimpinellifolium (Razali et al., 2018), Solanum lycopersicum (The Tomato Genome Consortium, 2012), Solanum pennellii (Bolger et al., 2014), Solanum tuberosum (The Potato Genome Sequencing Consortium, 2011), Capsicum annuum, CM334 v1.55 (Kim et al., 2014). In addition, data of Datura stramonium were extracted from protein whereas TAs and TPSs’ sequence were obtained from the genome of D. stramonium from the Mexican populations of Ticumán, Morelos (18°44′28.19″N, 99°7′44.26″W), and Teotihuacán, Estado de México (19°41′16.58″N, 98°50′4.14″W) (https://github.com/icruz1989/Datura-stramonium-genome-project) (De-la-Cruz et al., 2021) and transcriptomes (https://medplantrnaseq.org/).
We downloaded the whole genome of D. stramonium to extract the TPSs genes and gene prediction was performed using AUGUSTUS (Stanke et al., 2006). All sequences were uploaded and mapped using as reference species of Solanaceae. A total of 366,000 genes were extracted, and gene redundancy was reduced with CDHIT (Chen et al., 2016). The selected TPSs genes were blasted against the NCBI, UNIPROT databases and the nine genomes of Solanaceae, using a threshold value of 1E−5. All TPSs were downloaded from Viridiplantae followed by a protein-protein blast; hits above 80% of similarity and 70% of cover were saved for further analyses. Meta-alignments of protein sequences were performed using T-coffee (Wallace et al., 2006), MUSCLE v3.8 (Edgar, 2004) and MAFF (https://mafft.cbrc.jp/alignment/server/) v6. (Rozewick et al., 2019).
Identification of orthogroups and inference of phylogenetic tree of TPa and TPSs
Construction of orthogroups, gene families, was performed according to De-la-Cruz et al. (2021) using Orthofinder v2.3.3 (Emms & Kelly, 2015; Emms & Kelly, 2019). The phylogenetic tree inference was accomplished using the program BEAST with the pair-wise deletion option, and reliability of the obtained phylogenetic tree was tested by bootstrapping with 1,000,000 MKKM chains. The model of substitution selected was JTT+G+F, with a branch support of 1 (Drummond et al., 2002). The trees were edited at the interactive tree of life (https://itol.embl.de) (Letunic & Bork, 2019).
We downloaded all orthologous sequences of TAs and TPSs of D. stramonium, D. metel and nine species of Solanaceae (see Table 1) to construct the orthogroups. Downloaded sequences of proteins and ORFs were extracted using TransDecoder and corroborated with GenScan. TPS genes were translated with GenScan and checked for the right direction and correct CDS; we corroborated this with the NCBI. The database used for BLAST was Uniprot; all available data for the analyzed plant species were downloaded. These amounts 847,544 sequences of TAs and TPSs. BLAST was carried out with a filtering E-value < 1e−5 and only hits above 85% were selected (Data S1, S2). Orthogroups were inferred using Orthfinder v 2.3.3. DIAMONS (Emms & Kelly, 2015; Emms & Kelly, 2019) while OrthoMCL was used to assess orthologs among species (Chen et al., 2006).
Molecular modelling and protein-ligand docking was performed with GLIDE software (Schrödinger Release 2021-1, 2021). Simulations of interactions for each protein was done in a quadrat of 6LU/ processed with the same coordinates of the crystalized ligand as described in Wallace & Zhang (2020).
The SWISS-MODEL (http://www.expasy.org/swissmod/SWISS-MODEL.html) (Waterhouse et al., 2018) was employed to model the tertiary structure of proteins, from the previously determined structure by the dominion DIOX_N (PF14226) (Hagel & Facchini, 2010) as a blueprint of modelling. Models were visualized and analyzed through Visual Molecular Dynamics (Waterhouse et al., 2018; Bienert et al., 2017)
The in-silico docking (AutodockVina) of the PDB files (produced by the SWISS-Model) of Tic8550 (Ticumán) and Teo19488 (Teotihuacán) was performed in a simulation of molecular coupling with the native ligand of H6H, which is Hy-oscyamine (Hy-o). For docking, the protein was prepared with AutodockTools, assigning the parameters of energies and force fields of AutoDock4.0. Then, we obtained the results of the thermodynamically favored conformation for the Hy-o ligand using the algorithm VINA. The selected conformation had affinity coupling parameters of −7.3 and −7.5 kcl/mol for Teo19488 and Tic8550, respectively. As positive control, we performed the re-docking of the molecule of reference 6TTM (Datura metel), eliminating the ligand of the crystallized structure; the adopted conformation is similar to that obtained by the method of crystallization, and the coupling affinity for the reference model was −7.9 kcal/mol. The produced models are theoretically correct, and it is predicted that these have an oxidoreductase and use Hy-o as substrate.
Analyses detected variation in the number of TAs gene copies in D. stramonium: DsTRI, DsTRII, DsPMT and DsH6H. Compared to Viridiplantae D. stramonium has one or more copies of these genes suggesting a genome expansion of TAs.
We detected eight copies of tropinone reductase I (DsTRI) and four copies of DsTRII. TRI and TRII define two groups in Solanaceae (Fig. 1A). The gene DsTRII have had duplications events in D. stramonium (Fig. 1B). The first duplication occurs in Rosidae-Asteridae, followed by three duplications at the base of Solanaceae and one more in D. stramonium (Fig. 1B). The phylogeny and structure of 32 protein sequences (TRI) from different plant species show variability in the ADH_Short_C2 TRI dominion (Fig. 2); in D. stramonium (Tic23_dati33027) there is a duplication of this dominion but shorter (Fig. 2).
In Hy-oscyamine- 6-ß-hydroxylase (DsH6H) in the Ticumán genome we detected two copies of the gene, Tic8550 and Tic8549 (Fig. 3A). Tic8550 has a tandem duplication of the DIOX-N dominion of 79 amino acids (Fig. 3) whereas Tic8549 has the dominion 2-oxaglutarate (65 amino acids) (Fig. 3A). In contrast, in the Teotihuacán genome, DsH6H (i.e., Teo19488) has only one copy (Fig. 3). The alignment of 29 sequences of H6H of different plant species indicate the variation in the duplicated DIOX-N dominion in Tic8550 (Fig. 3B).
In N-methyl putremescine transferase (DsPMT) we found variation in the number of gene copies in comparison to other Solanaceae (Fig. 4). In Tucumán’s genome there are three copies while two copies were detected in Teotihuacán’s genome (Fig. 4, Fig. S1).
Eighteen TPSs genes were found in the genomes of D. stramonium (Fig. 5; Table S1) and seven in Datura metel (Fig. S2). The 18 DsTPS found in D. stramonium are distributed in four subfamilies, identified for other angiosperms: Nine in TPSa, 3 in TPSb, 2 in TPSc, 2 in TPSg and 2 TPS- unknown (Fig. S3, Tables S1 and S2) (Huang et al., 2013; Huang et al., 2017; Falara et al., 2011).
The domains of these TPSs, directly involved in the biosynthesis of terpenoids, show expansion events and positive selection in TPS10 (Fig. 6; Table S3). Changes in the dominions are: Terpene synthase, N-terminal domain (IPR001906), Terpenoid cyclases/protein prenyl transferase alpha-alpha toroid (IPR008930), Terpene synthase, metal-binding domain (IPR005630), Terpene cyclase-like 1, C-terminal (IPR034741). Analyses indicate that Solanaceae have the gene TPS10.1 whereas only D. stramonium and D. metel possess TPS10.2 (Fig. 7 and Tables S2 and S3); this possibly is a duplicate of TPS10.1_like.
Protein modeling and molecular docking
Superimposition of the reported protein structure of H6H from D. metel (PDB ID 6TTM) with the corresponding model obtained from DsH6H sequences for the two genomes of D. stramonium from two Mexican populations (Teo19488 and Tic8550), indicate similarities (Fig. 7A). The Teo19488 predicted structure match very well with the DmH6H structure (Fig. S2); similarly, Tic8550 matches well except for some residues that were not modeled (Fig. 7B, Fig. S3). This fragment of Tic8550 have a big terminal protein sequence (NQTMMLKWLLFLKLVYKQYLYKLYSTIGEKAEKDVINHGVPEKIMVEAMEFTKSFLHCLLRKKKSLSQKEASIKQSSML) of 79 amino acids was not modeled (Fig. 7B, cf. Fig. 3B). Further, a NCBI protein-protein blast of this sequence aligns well to the region: 33–72 of DmH6H fragment; we analyzed this fragment separately as Tic8550_Fragment (Fig. 86). The Tic8549 sequence corresponds to a 65 amino acids sequence (MLPIIPRPKSTLGAGGHYDGNIITFLQQDCLACNNSLLRMTNGLLLNLSYCFCGLSGTHSKGYEQ) that was modeled as Hy-oscyamine 6 beta-hydroxylase like fragment (Fig. 8). This fragment (Tic8549) aligns to DmH6H in one section of the binding pocket, where His-217 and Asp-219 are coordinated with Ni2+ (Fig. 8C). The presence of these amino acids in Tic8549 sequence is interesting since Ni2+ ion, a surrogate of the natively present Fe2+ ion, is coordinated by the side chains of His-217 (strand βII), Asp-219 (loop βII/ βIII) and His-274 (strand βVII) that forms a metal binding His-X-Asp…His motif, highly conserved in the oxoglutarate dependent oxygenases (ODD) family (Kluza et al., 2020).
Protein models of H6H for D. metel and D. stramonium (Teo19488 and Tic8550) predict more interaction between residues in Tic8550 than on D. metel and Teo19488 (Fig. 9). It has recently been reported that the binding pocket (BP) of DmH6H is mainly formed by hydrophobic amino acids. It has been demonstrated that in the crystalized H6H the phenyl ring of Hy-o is bounded in an aromatic cage formed by Phe-103, Tyr-295, Tyr-319, Phe-322 and Tyr-326, of which the most prominent bound is with Tyr-326 which forms CH-π hydrogen bonds with the phenyl ring of Hy-o in an edge-to-face bidentate manner (Kluza et al., 2020) (Figs. 9A, 9D). Our results shown that the predicted model for Teo19488 have the same amino acids forming the aromatic cage composed by Phe-88, Tyr-255, Tyr-279, Phe-282 and Tyr-286 and the predicted pose of Hy-o obtained by the docking in silico shows that the phenyl ring is inside of this aromatic cage (Fig. 9B). Nevertheless, the main interaction with Tyr-286 was not detected (Fig. 9E). This could be because the cutoff distance was set 4 Å and the predicted pose of this residue is beyond this cutoff distance. The predicted structure of Tic8550 has different amino acids arrangement inside the binding pocket. This predicted structure does not contain the aromatic cage, instead it is predicted that the phenyl ring of Hy-o inside of a cavity formed by the non-polar amino acids Leu-308, Leu-92, Ile-179, Met-181, Met-292 and the polar uncharged amino acids Asn-206 and Asn-289 (Fig. 9C). Also, it is predicted that the phenyl ring has several non-polar interactions with these side chain amino acids (Fig. 9F). The Asn-206 forms a conventional hydrogen bond with the hydroxyl group from Hy-o which may stabilize the structure in the BP.
Gene duplicates product of molecular evolution are the raw material for evolutionary innovation (Defoort, Van de Peer & Carretero-Paule, 2019). Recent findings have uncovered the interactions and contrasting functions of genes that may help plants to confront environmental stresses in nature and serve as important agronomic characteristics. Hence, to trace the origin, molecular mechanisms, evolutionary fate and function of gene duplicates is a main goal (Panchy, Lehti-Shiu & Shiu, 2016; Soltis & Soltis, 2016; Van de Peer, Mizrachi & Marchal, 2017). The phylogenetic analyses of genes involved in the synthesis of tropane alkaloids (DsPMT, DsTRI, DsTRII and DsH6H) here presented, indicate that two genes (DsTRII and DsH6H) have expanded in D. stramonium, presenting five and two copies, respectively. Previous studies have shown that tropinone reductases are involved in the bifurcation of the synthesis pathways in Solanaceae (Dräger et al., 1992; Nakajima, Hashimoto & Yamada, 1993; Birgit, 2006; Kanehisa & Sato, 2019). These genes are responsive to environmental stimuli and activate the signaling pathways (Campos, Kang & Howe, 2014). The presence of these genes in the Solanaceae, as revealed by phylogenetic analyses, suggests that these duplicates in D. stramonium may contribute to increase the production of tropane alkaloids. The absence of TRII in Zea mays and A. thaliana suggest that these species never had this gene or lost it during their evolution. However, the gene is also absent in species of other clades (e.g., Brassica rapa, Glycine max, Vitis vinifera, etc.; Fig. 1). Another possibility is that TRII is not related to the synthesis of tropane alkaloids in these species (Miller, Arteca & Pell, 1999).
The gene DsPMT of D. stramonium found in the population of Ticumán, México, had an extra domain of spermine-synthase in comparison with its homologous gene found in the same species but from the population of Teotihuacán, México (De-la-Cruz et al., 2021). We named this gene as Ds PMT7568ti (Fig. 4), Spermine gene is a potent plant defense activator, with protective effects of broad-spectrum (Seifi & Shelp, 2019). Reports indicate that overexpression of spermidine synthase enhances tolerance to multiple environmental stresses, including the attack by herbivores and pathogens (Kasukabe et al., 2004; Seifi et al., 2019). In addition, PMT is a key enzyme in the catalysis of N-methylputrescine from putrescine and S-adenosyl-L-methionine and triggers the production of hygrine and other different tropane alkaloids (Kanehisa & Sato, 2019).
In contrast to other plants, in Solanaceae (Atropa belladona, Hy-osciamus niger and Datura stramonium), TRII is duplicated and under positive selection. In this line, we hypothesize that TRII may have acquired a different functional importance after its duplication in D. stramonium and hence, it has retained multiple copies of the gene. Yet, this hypothesis warrants further analysis. The phylogeny indicates an independent history, for instance, from Brassicaceae.
Perhaps TRs in Brassicales have other functions, different to the production of alkaloids, but using the same pathways. For instance, they may have conferred plasticity to deal with environmental stresses. Plant species with small genome size may have lost considerable fractions of their genome. Thus, enzymes with similar function may have been replaced by TRII.
Of the four subfamilies of TPSs found in the D. stramonium’s genome, three have been reported in other angiosperms (TPSa, TPSb and TPSg). TPS10 is member of the subfamily a and its role in defense against pathogens and herbivores has been dilucidated in Zea mays (Huang et al., 2017; Singh & Sharma, 2015; Tholl, 2006). We detected positive selection on TPS; positive selection on TPS10.1 and TPS10.2 was detected in D. stramonium and D. metel. We speculate that the presence of two copies of this gene can contribute to plant defense against plants’ natural enemies (Köllner, Gershenzon & Degenhardt, 2009; Köllner, Degenhardt & Gershenzon, 2020).
In this line, duplicated genes involved in the specialized metabolism and plant defense often show differential restrictions (constraints, trade-offs, limitations) either indicating positive selection or differential selection (Wang et al., 2016). Apparently, TRII displays genic redundancy since it possesses different copies and polymorphic sites. However, this may not be the case since this process is only present in genes of primary metabolism or development (Wang et al., 2016; Maltsev et al., 2005) which are constitutive and display low variation. The gene H6H is involved in the last step in the production of scopolamine and atropine in one of the pathways for the production of tropane alkaloids (Kanehisa & Sato, 2019). Here, we detected one duplicated in tandem of this gene in D. stramonium (Ticumán has two domains of DIOX_N (PF14226), although each copy belongs to two different gene families (OG0028637 and OG0043057; cf. Fig. 3). Similarly, we found 18 TPSs in D. stramonium that likely are involved in plant defense against herbivores like in other plants species (e.g., Bharat & Sharma 2015). Lineages in the Solanaceae have high values of the ratio Ka/Ks (Table 2). Thus, positive selection may have acted on TPS10.1 and TPS10.2 of D. stramonium, not recently and the selection effect on allelic diversity may be masked by the accumulation of neutral mutation.
|Genes||Chi-Square||Proportion of sites selected||ω|
On the other hand, results of protein simulation and molecular docking suggest that the structure and interactions of this protein (H6H) in Tic8550 might have a different structure to that of the known H6H; we speculate if this may be related to enhancing the efficiency of alkaloids’ synthesis.
It is interesting to note that the Tic8549 possess only the fragment 2OG-FeII_Oxy (PF03171) whereas Tic8550 possess an extra dominion (DIOX_N) which aligns structurally to a highly conserved region of H6H proteins (Figs. S2 and S3) (and associated to a coordination of binding metal Ni+2 (Fig. S5)). Further, it is interesting noting that a particular gene Tic8549 is associated to this fragment DIOX_N (PF14226).
Finally, the number of copies and differentiation of TAs and TPSs of D. stramonium, as compared to other solanaceous species, suggest their involvement on adaptive evolution of chemical defense against herbivores. Further studies should be directed to experimentally assess gain (overexpression) or loss (silencing) of function of duplicated genes.
Our results indicate differences in the number of gene copies involved in the synthesis of tropane alkaloids, between the genomes of Datura stramonium from the two Mexican populations (Ticumán and Teotihuacán). Furthermore, more copies of genes related to the synthesis of tropane alkaloids (TRI, TRII, H6H, PMT-10) are found in D. stramonium as compared to Viridiplantae. Likewise, for terpene synthases (TPS), TPS-10 is duplicated in D. stramonium and D. metel. These results point future experimental studies of gain/loss of duplicated genes.
Links to data on Figshare (Data S3).
Phylogeny of PMT in plants
Phylogeny of PMT in plants. Clades marked with a red square lack duplication events. In the Solanaceae clade, a duplication of Spermidine synthase (SPDE) in Datura stramonium is indicated.
Phylogeny of TPSs in Datura metel
Bayesian phylogenetic analysis of TPSs found on Datura metel. The seven TPSs found are distributed among Solanaceae in two groups, one represented by TPS-10 (yellow) and the second group, the rest of TPSs (Cyan).
Distribution of TPSs subfamilies of Datura stramonium
Distribution of TPSs subfamilies of Datura stramonium. Subfamilies (a, b, c, and g) of the 18 DsTPS found. Nine DsTPS are in subfamily a. Tree obtained by Bayesian inference, with JTT+G+F evolutionary model. Most branches have support above 80%.
Quality parameters of modeled protein of Tic8550
Quality parameters of modeled protein of Tic8550 (Swiss-Model). (A) Values of GMQE indicate a good precision of construction of protein H6H of Tic8550. (B) For each residue of model x the expected similarity with the native structure y is shown. It is expected that the residues with a punctuation lower than 0.6 being of low quality. In (C) residues present in all polypeptides of proteins of the model are depicted in an interactive screen of protein sequence (H6H). Each residue is labelled with a letter, below the bar graph of the estimated local quality QMEAN), Blue and red color indicate high and low quality, respectively.
Quality parameters of modeled protein of Tic8549
Quality parameters of modeled protein of Tic8549 (Swiss-Model). (A) Values of GMQE indicate a good precision of construction of protein H6H of Tic8550. (B) For each residue of model x the expected similarity with the native structure y is shown. It is expected that the residues with a punctuation lower than 0.6 being of low quality. In (C) residues present in all polypeptides of proteins of the model are depicted in an interactive screen of protein sequence (H6H). Each residue is labelled with a letter, below the bar graph of the estimated local quality QMEAN), Blue and red color indicate high and low quality, respectively.
In silico molecular docking of the native ligand of H6H
In silico molecular docking of the native ligand of H6H, which is Hyosciamine (Hy-o), with each of the models and with the crystalized structure of H6H (PDB ID 6TTM). The reference structure 6TTM shows the position of the ligands Hy-o and 2OG and the coordinated metal Ni2+ (in green color). The docking of the H6H structure resulted in a binding affinity (BA) −7.9 Kcal mol−1 and the prediction of the position of Hy (in blue) inside the binding pocket (BP) fits perfectly with the position in the crystalized structure 6TMM (in yellow). The simulation performed with the model Teo8550 produced a BA of −7.1 Kcal mol−1 and the prediction of the position of ligand Hyo fits inside of the BP, but with a different pose. Difference in pose might be due to fact that the structure of the model is slightly different to the model of reference 6TTM. Although the model produced share similar residues inside the BP there are some differences in relation to the reference.