Silico Evaluation Research Articles

In Vitro and In Silico Evaluation of Cholinesterase Inhibition by Alkaloids Obtained from Branches of Abuta panurensis Eichler.

Alkaloids are natural products known as ethnobotanicals that have attracted increasing attention due to a wide range of their pharmacological properties. In this study, cholinesterase inhibitors were obtained from branches of Abuta panurensis Eichler (Menispermaceae), an endemic species from the Amazonian rainforest. Five alkaloids were isolated, and their structure was elucidated by a combination of 1D and 2D 1H and 13C NMR spectroscopy, HPLC-MS, and high-resolution MS: Lindoldhamine isomer m/z 569.2674 (1), stepharine m/z 298.1461 (2), palmatine m/z 352.1616 (3), 5-N-methylmaytenine m/z 420.2669 (4) and the N-trans-feruloyltyramine m/z 314.1404 (5). The compounds 1, 3, and 5 were isolated from A. panurensis for the first time. Interaction of the above-mentioned alkaloids with acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) enzymes was investigated in silico by molecular docking and molecular dynamics. The molecules under investigation were able to bind effectively with the active sites of the AChE and BChE enzymes. The compounds 1–4 demonstrated in vitro an inhibitory effect on acetylcholinesterase with IC50 values in the range of 19.55 µM to 61.24 µM. The data obtained in silico corroborate the results of AChE enzyme inhibition.

Sonochemical Synthesis and In Silico Evaluation of Imidazo[1,2-a]Pyridine Derivatives as Potential Inhibitors of Sirtuins

Encouraged by the reported sirtuin modulating ability of an imidazopyridazine derivative the structurally relevant imidazo[1,2-a]pyridine framework was explored for the design and synthesis of prospective inhibitors of sirtuins. The synthesis of targeted imidazo[1,2-a]pyridine derivatives was carried out via a NBS (N-bromosuccinimide) promoted reaction of 2-aminopyridines with β-keto esters (or 1,3-dione derivatives) in PEG-400 under ultrasound irradiation. This sonochemical method afforded the desired product in good yield when 2-aminopyridines containing electron donating methyl group were employed whereas the corresponding products were obtained in low yields when the electron withdrawing chloro group was present in 2-aminopyridines. The use of 1,3-diones in place of β-keto esters generally afforded the corresponding products in moderate to low yields. The compounds obtained from 1,3-diones were evaluated in silico against SIRT1, 2 and 3 for their potential inhibitory properties against these proteins. The carbonyl group generally played an important role in the interaction of test compounds with the target protein via formation of H-bond(s) with the appropriate residue(s). The docking studies also indicated the selective inhibition of SIRT1 over SIRT2 and 3 by the compound 4a whereas the selective SIRT3 inhibition was specified for compound 3x. Additionally, the in vitro SIRT1 inhibition e.g. 66.7 ± 2.1, 76.8 ± 1.3, 51.9 ± 3.0 and 70.1 ± 1.9% shown by 3x, 4a, 4b and 4c, respectively at 10 µM corroborated the in silico findings concerning this protein.

Synthesis and In Silico Evaluation of Some New 2,4-Disubstituted Thiazole Derivatives

The synthesis and antiproliferative activity investigation of methyl 3/4-[[4-(2-substituted thiazol-4-yl)phenyl]amino]-3-oxopropanoate/(4-oxobutanoate) (3a-h) derivatives were aimed in this work. The synthesis of the new compounds were carried out by a simple, multiple-step synthetic procedure. The physicochemical properties of the compounds were determined using SwissADME and QuickProp software systems. Additionally, virtual target and toxicity predictions were carried out for all final compounds. The pharmacokinetics/physicochemical, druglikeness properties and biological target and toxicity predicitions of the compounds were determined to possess satisfying findings. Since the target determination of the compounds according to literature is point out their cytotoxic properties, the DNA gyrase enzyme was chosen as common enzymatic pathway, and evaluated via docking studies. Compound 3b, namely methyl 4-[[4-(2-methylthiazol-4-yl)phenyl]amino]-4-oxobutanoate was detected to possess a potential to inhibit DNA gyrase-ATPase activity.

The Synthesis of Triazolium Salts as Antifungal Agents: A Biological and In Silico Evaluation.

The control of fungal pathogens is increasingly difficult due to the limited number of effective drugs available for antifungal therapy. In addition, both humans and fungi are eukaryotic organisms; antifungal drugs may have significant toxicity due to the inhibition of related human targets. Furthermore, another problem is increased incidents of fungal resistance to azoles, such as fluconazole, ketoconazole, voriconazole, etc. Thus, the interest in developing new azoles with an extended spectrum of activity still attracts the interest of the scientific community. Herein, we report the synthesis of a series of triazolium salts, an evaluation of their antifungal activity, and docking studies. Ketoconazole and bifonazole were used as reference drugs. All compounds showed good antifungal activity with MIC/MFC in the range of 0.0003 to 0.2/0.0006–0.4 mg/mL. Compound 19 exhibited the best activity among all tested with MIC/MFC in the range of 0.009 to 0.037 mg/mL and 0.0125–0.05 mg/mL, respectively. All compounds appeared to be more potent than both reference drugs. The docking studies are in accordance with experimental results.

In Silico Evaluation of the Taxonomic Resolution and Coverage of the COI Region and Alternative Barcode Markers for Echinoderms

DNA barcoding methods are potentially useful for the detection and identification of species difficult to identify using morphology-based taxonomy, such as the larvae of marine taxa. Combining barcoding methods with massively parallel sequencing and low-cost DNA library preparation improves the feasibility of processing several samples but limits the taxonomic resolution of resulting sequences. In light of these limitations, we looked for suitable barcode regions for echinoderm larvae, first by examining the cytochrome c oxidase subunit I (COI) region, the most commonly used barcode for echinoderms. Using a dataset containing over 4000 COI sequences representing nearly 400 echinoderm species across all five extant classes, the COI gene was found to lack a sufficiently conserved region for barcoding. Taxonomic resolution was also found lacking, with no clear barcode gap across classes and the results of Automatic Barcode Gap Discovery (ABGD) failing to reflect current taxonomic assignments. While sequences may be mislabeled, the aggregation of multiple species in one ABGD partition suggests that course-grained taxonomic resolution may still result from using COI alone. The search for short alternative mitochondrial regions across 110 genomes of distinct species using ecoPrimers software revealed that class-specific primers targeting 12S and 16S ribosomal RNA (rRNA) regions are prime candidates for barcoding echinoderm sequences. The results of in silico PCR across the 110 mitochondrial genomes indicate that compared to existing COI primers, the candidate 12S and 16S primers yield similar taxonomic coverage, with slightly lower resolution. Taking into consideration the previous analysis of COI, we suggest the use of multiple markers (COI, 12S, 16S) to adequately capture the understudied diversity of echinoderm larvae. In vitro PCR of the 12S and 16S primers is also needed to validate the results of the in silico analyses.

In Silico Evaluation of Antifungal Compounds from Marine Sponges against COVID-19-Associated Mucormycosis.

The world is already facing the devastating effects of the SARS-CoV-2 pandemic. A disseminated mucormycosis epidemic emerged to worsen this situation, causing havoc, especially in India. This research aimed to perform a multitargeted docking study of marine-sponge-origin bioactive compounds against mucormycosis. Information on proven drug targets and marine sponge compounds was obtained via a literature search. A total of seven different targets were selected. Thirty-five compounds were chosen using the PASS online program. For homology modeling and molecular docking, FASTA sequences and 3D structures for protein targets were retrieved from NCBI and PDB databases. Autodock Vina in PyRx 0.8 was used for docking studies. Further, molecular dynamics simulations were performed using the IMODS server for top-ranked docked complexes. Moreover, the drug-like properties and toxicity analyses were performed using Lipinski parameters in Swiss-ADME, OSIRIS, ProTox-II, pkCSM, and StopTox servers. The results indicated that naamine D, latrunculin A and S, (+)-curcudiol, (+)-curcuphenol, aurantoside I, and hyrtimomine A had the highest binding affinity values of −8.8, −8.6, −9.8, −11.4, −8.0, −11.4, and −9.0 kcal/mol, respectively. In sum, all MNPs included in this study are good candidates against mucormycosis. (+)-curcudiol and (+)-curcuphenol are promising compounds due to their broad-spectrum target inhibition potential.

Synthesis, In Silico, and Biological Evaluation of a Borinic Tryptophan-Derivative That Induces Melatonin-like Amelioration of Cognitive Deficit in Male Rat

Preclinical and clinical evidence supports melatonin and its analogues as potential treatment for diseases involving cognitive deficit such as Alzheimer’s disease. In this work, we evaluated by in silico studies a set of boron-containing melatonin analogues on MT1 and MT2 receptors. Then, we synthesized a compound (borolatonin) identified as potent agonist. After chemical characterization, its evaluation in a rat model with cognitive deficit showed that it induced ameliorative effects such as those induced by equimolar administration of melatonin in behavioral tests and in neuronal immunohistochemistry assays. Our results suggest the observed effects are by means of action on the melatonin system. Further studies are required to clarify the mechanism(s) of action, as the beneficial effects on disturbed memory by gonadectomy in male rats are attractive.

Thiazolidin-4-Ones as Potential Antimicrobial Agents: Experimental and In Silico Evaluation.

Herein, we report computational and experimental evaluations of the antimicrobial activity of twenty one 2,3-diaryl-thiazolidin-4-ones. All synthesized compounds exhibited an antibacterial activity against six Gram-positive and Gram-negative bacteria to different extents. Thus, the MIC was in the range of 0.008–0.24 mg/mL, while the MBC was 0.0016–0.48 mg/mL. The most sensitive bacterium was S. Typhimurium, whereas S. aureus was the most resistant. The best antibacterial activity was observed for compound 5 (MIC at 0.008–0.06 mg/mL). The three most active compounds 5, 8, and 15, as well as compound 6, which were evaluated against three resistant strains, MRSA, P. aeruginosa, and E. coli, were more potent against all bacterial strains used than ampicillin. The antifungal activity of some compounds exceeded or were equipotent with those of the reference antifungal agents bifonazole and ketoconazole. The best activity was expressed by compound 5. All compounds exhibited moderate to good drug-likeness scores ranging from −0.39 to 0.39. The docking studies indicated a probable involvement of E. coli Mur B inhibition in the antibacterial action, while CYP51 inhibition is likely responsible for the antifungal activity of the tested compounds. Finally, the assessment of cellular cytotoxicity of the compounds in normal human MRC-5 cells revealed that the compounds were not toxic.

In Silico Evaluation of a Promising Key Intermediate Thieno [2,3-d] Pyrimidine Derivative with Expected JAK2 Kinase Inhibitory Activity

This work describes the synthesis and the cytotoxic evaluation of thiophene and thienopyrimidine derivatives. The investigated compound was subjected to target prediction that indicated its high affinity to kinases and to Janus kinase 2 (JAK2) specifically. Molecular docking screening was performed on three different JAK2 proteins downloaded from the Protein Data Bank (PDB: 5AEP, 4C62 and 3ZMM). In vitro kinase inhibitory activity was evaluated and then compound cytotoxicity was performed on three different cancerous cell lines (HT-29, HepG-2, and MCF-7). Marked cytotoxic activity of the thienopyrimidine derivative against the HepG-2 cell line was demonstrated, reflected by its IC50 value of 8.001 ± 0.0445 μM, which is better than that of the reference standard (IC50 13.91 ± 2.170 μM). Pharmacokinetic studies revealed good well permeability and GI absorption with no violations against Lipinski’s rule.

Omicron Variant of SARS-CoV-2 Virus: In Silico Evaluation of the Possible Impact on People Affected by Diabetes Mellitus.

The Omicron variant of SARS-CoV-2 (Spike mutant B.1.1.529) carrying more than 30-point mutations in its structure, of which 15 are localized in the receptor-binding domain (RBD), allows to hypothesize a relevant change in interactivity with ACE2. In previous reports we hypothesized that the worse outcome of the COVID-19 disease in diabetes mellitus condition could be related to the non-enzymatic glycation of ACE2 receptor and an in silico evaluation led to the demonstration that the number of interactions is decreased in comparison to the unmodified model, possibly shifting the virus attack through different, multiple alternative entry routes. Given the evidenced features of this variant, we aimed to investigate with a computational approach the characteristics of Omicron SARS-CoV-2 with respect to its binding to human ACE-2 receptor, in a particular population, namely people affected by diabetes mellitus, at risk for unfavorable outcomes of the COVID-19. The computational analysis, considering the case in which all the lysine residues in the system are subjected to non-enzymatic glycation, confirmed that lysine glycation causes a general loss of interactivity between wild-type (WT)-Spike-RBD and ACE2. In the Omicron variant, Lys417 mutates into an asparagine, preventing the possible non-enzymatic glycation of this residue. Therefore, if non-enzymatic glycation seemed to cause a shift in the way in which the virus enters the cell from the ACE2-mediated mechanism to other pathways, in the case of the Omicron variant the ACE2-mediated approach of the virus seems to remain an important event to take into account. Indeed, interaction profile analysis, together with molecular mechanics–generalized Born surface area (MM-GBSA) calculations, suggests that the Omicron-Spike-RBD maintains a higher affinity for ACE2 subsequently to non-enzymatic glycation with respect to WT-Spike-RBD. The finding of the present computational study may suggest a different clinical relevance of the Omicron variant for the diabetes mellitus field, also in the possible direction of a lower severity of the disease.

Profile of Myracrodruon urundeuva Volatile Compounds Ease of Extraction and Biodegradability and In Silico Evaluation of Their Interactions with COX-1 and iNOS.

Myracrodruon urundeuva Fr. Allem. (Anacardiaceae) is a tree popularly known as the “aroeira-do-sertão”, native to the caatinga and cerrado biomes, with a natural dispersion ranging from the Northeast, Midwest, to Southeast Brazil. Its wood is highly valued and overexploited, due to its characteristics such as durability and resistance to decaying. The diversity of chemical constituents in aroeira seed has shown biological properties against microorganisms and helminths. As such, this work aimed to identify the profile of volatile compounds present in aroeira seeds. Headspace solid phase microextraction was employed (HS-SPME) using semi-polar polydimethylsiloxane-divinylbenzene fiber (PDMS/DVB) for the extraction of VOCs. 22 volatile organic compounds were identified: nine monoterpenes and eight sesquiterpenes, in addition to six compounds belonging to different chemical classes such as fatty acids, terpenoids, salicylates and others. Those that stood out were p-mentha-1,4, 4(8)-diene, 3-carene (found in all samples), caryophyllene and cis-geranylacetone. A virtual docking analysis suggested that around 65% of the VOCs molar content from the aroeiras seeds present moderate a strong ability to bind to cyclooxygenase I (COX-I) active site, oxide nitric synthase (iNOS) active site (iNOSas) or to iNOS cofactor site (iNOScs), corroborating an anti-inflamatory potential. A pharmacophoric descriptor analysis allowed to infer the more determinant characteristics of these compounds’ conferring affinity to each site. Taken together, our results illustrate the high applicability for the integrated use of SPME, in silico virtual screening and chemoinformatics tools at the profiling of the biotechnological and pharmaceutical potential of natural sources.

The Healing Power of Clean Rivers: In Silico Evaluation of the Antipsoriatic Potential of Apiin and Hyperoside Plant Metabolites Contained in River Waters.

Humanity may benefit greatly from intact riverine ecosystems not only because they supply water to be used in the most common human activities, but also for the effects that clean rivers can have on human health. Herein, we used a computational approach to show that some phytochemicals produced by riparian plants as secondary metabolites, which are naturally released into river waters, can have therapeutic properties. These include antipsoriatic activities which we demonstrated in silico by modelling the interaction of apiin, guanosine and hyperoside, a few main river plant metabolites, with NF-kB, IL-17 and IL-36, which are recognized targets involved in psoriasis disease. In particular, we found that apiin and hyperoside are endowed with docking energies and binding affinities which are more favorable than the known reference inhibitors of the three protein targets whilst, in silico, guanosine shows comparable activity with respect to the inhibitors of IL-36 and NF-kB. The low skin permeation (logKp < −8) we predicted for apiin and hyperoside led us to hypothesize their possible utilization as topic antipsoriatic therapeutics, and in particular after PAINS (pan-assay interference compounds) score evaluation, we reached the conclusion that apiin, with no predicted tendency to react nonspecifically with the numerous targets involved in the biological cellular pathways, is particularly interesting for the desired therapeutic application.

Thiophenes-Naturally Occurring Plant Metabolites: Biological Activities and In Silico Evaluation of Their Potential as Cathepsin D Inhibitors.

Naturally, thiophenes represent a small family of natural metabolites featured by one to five thiophene rings. Numerous plant species belonging to the family Asteraceae commonly produce thiophenes. These metabolites possessed remarkable bioactivities, including antimicrobial, antiviral, anti-inflammatory, larvicidal, antioxidant, insecticidal, cytotoxic, and nematicidal properties. The current review provides an update over the past seven years for the reported natural thiophene derivatives, including their sources, biosynthesis, spectral data, and bioactivities since the last review published in 2015. Additionally, with the help of the SuperPred webserver, an AI (artificial intelligence) tool, the potential drug target for the compounds was predicted. In silico studies were conducted for Cathepsin D with thiophene derivatives, including ADMET (drug absorption/distribution/metabolism/excretion/and toxicity) properties prediction, molecular docking for the binding interaction, and molecular dynamics to evaluate the ligand–target interaction stability under simulated physiological conditions.

Thiazolidinedione Derivatives: In Silico, In Vitro, In Vivo, Antioxidant and Anti-Diabetic Evaluation.

This work aimed to synthesize a new antihyperglycemic thiazolidinedione based on the spectral data. The DFT\\B3LYP\\6-311G** level of theory was used to investigate the frontier molecular orbitals (FMOs), chemical reactivity and map the molecular electrostatic potentials (MEPs) to explain how the synthesized compounds interacted with the receptor. The molecular docking simulations into the active sites of PPAR-γ and α-amylase were performed. The in vitro potency of these compounds via α-amylase and radical scavenging were evaluated. The data revealed that compounds (4–6) have higher potency than the reference drugs. The anti-diabetic and anti-hyperlipidemic activities for thiazolidine-2,4-dione have been investigated in vivo using the alloxan-induced diabetic rat model along with the 30 days of treatment protocol. The investigated compounds didn’t show obvious reduction of blood glucose during pre-treatments compared to diabetic control, while after 30 days of treatments, the blood glucose level was lower than that of the diabetic control. Compounds (4–7) were able to regulate hyperlipidemia levels (cholesterol, triglyceride, high-density lipoproteins and low- and very-low-density lipoproteins) to nearly normal value at the 30th day.

In Silico Evaluation of Enzymatic Tunnels in the Biotransformation of α-Tocopherol Esters.

Motivation: α-Tocopherol is a molecule obtained primarily from plant sources that are important for the pharmaceutical and cosmetics industry. However, this component has some limitations such as sensitivity to oxygen, presence of light, and high temperatures. For this molecule to become more widely used, it is important to carry out a structural modification so that there is better stability and thus it can carry out its activities. To carry out this structural modification, some modifications are carried out, including the application of biotransformation using enzymes as biocatalysts. Thus, the application of a computational tool that helps in understanding the transport mechanisms of molecules in the tunnels present in the enzymatic structures is of fundamental importance because it promotes a computational screening facilitating bench applications. Objective: The aim of this work was to perform a computational analysis of the biotransformation of α-tocopherol into tocopherol esters, observing the tunnels present in the enzymatic structures as well as the energies which correspond to the transport of molecules. Method: To carry out this work, 9 lipases from different organisms were selected; their structures were analyzed by identifying the tunnels (quantity, conformation, and possibility of transport) and later the calculations of substrate transport for the biotransformation reaction in the identified tunnels were carried out. Additionally, the transport of the product obtained in the reaction through the tunnels was also carried out. Results: In this work, the quantity of existing tunnels in the morphological conformational characteristics in the lipases was verified. Thus, the enzymes with fewer tunnels were RML (3 tunnels), LBC and RNL (4 tunnels), PBLL (5 tunnels), CALB (6 tunnels), HLG (7 tunnels), and LCR and LTL (8 tunnels) and followed by the enzyme LPP with the largest number of tunnels (39 tunnels). However, the enzyme that was most likely to transport substrates in terms of α-tocopherol biotransformation (in relation to the Emax and Ea energies of ligands and products) was CALB, as it obtains conformational and transport characteristics of molecules with a particularity. The most conditions of transport analysis were α-tocopherol tunnel 3 (Emax: −4.6 kcal/mol; Ea: 1.1 kcal/mol), vinyl acetate tunnel 1 (Emax: −2.4 kcal/mol; Ea: 0.1 kcal/mol), and tocopherol acetate tunnel 2 (Emax: −3.7 kcal/mol; Ea: 2 kcal/mol).

In Silico Evaluation of Binding of 2-Deoxy-D-Glucose with Mpro of nCoV to Combat COVID-19.

COVID-19 has threatened the existence of humanity andthis infection occurs due to SARS-CoV-2 or novel coronavirus, was first reported in Wuhan, China. Therefore, there is a need to find a promising drug to cure the people suffering from the infection. The second wave of this viral infection was shaking the world in the first half of 2021. Drugs Controllers of India has allowed the emergency use of 2-deoxy-D-glucose (2DG) in 2021 for patients suffering from this viral infection. The potentiality of 2-deoxy-D-glucose to intervene in D-glucose metabolism exists and energy deprivation is an effective parameter to inhibit cancer cell development. Once 2DG arrives in the cells, it becomes phosphorylated to 2-deoxy-D-glucose-6-phosphate (2-DG6P), a charged molecule expressively captured inside the cells. On the other hand, 2DG lacks the ability to convert into fructose-6-phosphate, resulting in a hampering of the activity of both glucose-6-phosphate isomerase and hexokinase, and finally causing cell death. Hence, the potential and effectiveness of 2DG with the main protease (Mpro) of novel coronavirus (nCoV) should be investigated using the molecular docking and molecular dynamics (MD) simulations. The ability of 2DG to inhibit the Mpro of nCoV is compared with 2-deoxyglucose (2DAG), an acyclic molecule, and 2-deoxy-D-ribose (2DR). The binding energy of the molecules with the Mpro of nCoV is calculated using molecular docking and superimposed analysis data is obtained. The binding energy of 2DG, 2DR and 2DAG was −2.40, −2.22 and −2.88 kcal/mol respectively. Although the molecular docking does not provide reliable information, therefore, the binding affinity can be confirmed by molecular dynamics simulations. Various trajectories such as Rg, RMSD, RMSF, and hydrogen bonds are obtained from the molecular dynamics (MD) simulations. 2DG was found to be a better inhibitor than the 2DAG and 2DR based on the results obtained from the MD simulations at 300 K. Furthermore, temperature-dependent MD simulations of the Mpro of nCoV with promising 2DG was performed at 295, 310 and 315 K, and the effective binding with the Mpro of nCoV occurred at 295 K. With the use of DFT calculations, optimized geometry and localization of electron density of the frontier molecular orbitals were calculated.

In Silico Prediction and Evaluation of E. coli Expressed Recombinant HA Protein of Avian Influenza Virus

In Silico Prediction and Evaluation of E. coli Expressed Recombinant HA Protein of Avian Influenza Virus

In Silico Evaluation of Particle Transport and Deposition in the Airways of Individual Patients with Chronic Obstructive Pulmonary Disease

In Silico Evaluation of Particle Transport and Deposition in the Airways of Individual Patients with Chronic Obstructive Pulmonary Disease

In Silico Evaluation of Biopharmaceutical Properties of Chloramphenicol Derivatives and their Iron Complexes

Context and objectives The use of chloramphenicol (CAM) has been reduced due to the side effects associated with its use (Bone marrow depression, neurotoxicity) and the increase in resistance to CAM that some microbes develop. To overcome these difficulties, two CAM derivatives, L1 and L2, and their respective iron complexes were synthesized to evaluate in silico their biopharmaceutical properties.

In Silico evaluation of pharmacokinetic parameters of natural bioactives in the oil of Olea europaea L. for possible applications in skin infections

Olive oil (Olea europaea L.) contains many useful substances that positively affect human health; they are called bioactive compounds and include phenolic compounds with high antioxidant potential, a-tocopherols (vitamin E), triglycerides, sterols and essential fatty acids such as oleic and linoleic acids. Its molecules give the oil several beneficial health effects due to its antihypertensive, antidiabetic, anticancer, antiatherosclerotic and anti-inflammatory activities. The discovery of new medicines, such as those from medicinal plants, is a more complex problem than it was in the past. The problem is the complexity of the molecules of medicinal plants. In this context, in silico studies, which use computer systems that store, manipulate and display chemical structures and the information associated with them, have become an important tool and increasingly used in research. Based on this, this work sought to evaluate the biological and toxicological parameters of the main natural bioactives of olive oil (oleic and linoleic acid) through the study of in silico predictions, with computational tools (Pass online, Molinspiration , pkCSM and ProTox-II ) and discover the best points of interaction between the compounds with proteins that form bacterial biofilms, through molecular docking. Although this is a preliminary study, which requires further clinical trials and evidence, the results obtained in the study showed that the major fatty acids present in olive oil can be strong candidates to be used in biological applications because in prediction studies computational and molecular docking, proved to be biologically safe, with good pharmacological properties and with good ligand-protein interactions.