Classification of beta-site amyloid precursor protein cleaving enzyme 1 inhibitors by using machine learning methods.

The beta-site amyloid precursor protein cleaving enzyme 1 (BACE1) is a transmembrane aspartyl-protease, that cleaves amyloid precursor protein (APP) at the ß-site. The sequential proteolytic cleavage of APP, first by ß-secretase and then by γ-secretase complex, leads to the production and release of amyloid-ß peptide, a pathological hallmark of Alzheimer's disease (AD). BACE1 inhibitors are reported to possess considerable potential in decreasing the level of amyloid-ß in brain and preventing the progression of AD. A classification study has been conducted on 3536 diverse BACE1 inhibitors, obtained from Binding DB database, by extracting two types of descriptors, that is molecular property (Mordred) and fingerprints (Pubchem, MACCS and KRFP). Furthermore, based on the descriptors, various machine learning algorithms such as Naïve Bayesian (NB), nearest known neighbours (kNN), support vector machine (SVM), random forest (RF) and gradient-boosted algorithms (XGB) were applied to develop classification models. The performance of models was evaluated by using accuracy, precision, recall and F1 score of test set. The best NB, kNN, SVM, RF and XGB classifiers had F1 score of 0.74, 0.85, 0.86, 0.87 and 0.87, respectively. The diverse 3536 BACE1 inhibitors were clustered into 11 subsets, and the structural features of each subset were evaluated. The important fragments present in active and inactive compounds were also identified. The model developed in the study would serve as a valuable tool for the designing of BACE1 inhibitors, and also in virtual screening of molecules to identify these.

Active Learning and the Potential of Neural Networks Accelerate Molecular Screening for the Design of a New Molecule Effective against SARS-CoV-2.

A global pandemic has emerged following the appearance of the new severe acute respiratory virus whose official name is the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), strongly affecting the health sector as well as the world economy. Indeed, following the emergence of this new virus, despite the existence of a few approved and known effective vaccines at the time of writing this original study, a sense of urgency has emerged worldwide to discover new technical tools and new drugs as soon as possible. In this context, many studies and researches are currently underway to develop new tools and therapies against SARS CoV-2 and other viruses, using different approaches. The 3-chymotrypsin (3CL) protease, which is directly involved in the cotranslational and posttranslational modifications of viral polyproteins essential for the existence and replication of the virus in the host, is one of the coronavirus target proteins that has been the subject of these extensive studies. Currently, the majority of these studies are aimed at repurposing already known and clinically approved drugs against this new virus, but this approach is not really successful. Recently, different studies have successfully demonstrated the effectiveness of artificial intelligence-based techniques to understand existing chemical spaces and generate new small molecules that are both effective and efficient. In this framework and for our study, we combined a generative recurrent neural network model with transfer learning methods and active learning-based algorithms to design novel small molecules capable of effectively inhibiting the 3CL protease in human cells. We then analyze these small molecules to find the correct binding site that matches the structure of the 3CL protease of our target virus as well as other analyses performed in this study. Based on these screening results, some molecules have achieved a good binding score close to -18 kcal/mol, which we can consider as good potential candidates for further synthesis and testing against SARS-CoV-2.

Proposal of novel natural inhibitors of severe acute respiratory syndrome coronavirus 2 main protease: Molecular docking and ab initio fragment molecular orbital calculations.

This paper proposes natural drug candidate compounds for the treatment of coronavirus disease 2019 (COVID-19). We investigated the binding properties between the compounds in the Moringa oleifera plant and the main protease (Mpro) of severe acute respiratory syndrome coronavirus 2 using molecular docking and ab initio fragment molecular orbital calculations. Among the 12 compounds, niaziminin was found to bind the strongest to Mpro. We furthermore proposed novel compounds based on niaziminin and investigated their binding properties to Mpro. The results reveal that the introduction of a hydroxyl group into niaziminin enhances its binding affinity to Mpro. These niaziminin derivatives can be promising candidate drugs for the treatment of COVID-19.

Targeting the NS2B-NS3 protease of tick-borne encephalitis virus with pan-flaviviral protease inhibitors.

Tick-borne encephalitis (TBE) is a severe neurological disorder caused by tick-borne encephalitis virus (TBEV), a member of the Flavivirus genus. Currently, two vaccines are available in Europe against TBEV. However, TBE cases have been rising in Sweden for the past twenty years, and thousands of cases are reported in Europe, emphasizing the need for antiviral treatments against this virus. The NS2B-NS3 protease is essential for flaviviral life cycle and has been studied as a target for the design of inhibitors against several well-known flaviviruses, but not TBEV. In the present study, Compound 86, a known tripeptidic inhibitor of dengue (DENV), West Nile (WNV) and Zika (ZIKV) proteases, was predicted to be active against TBEV protease using a combination of in silico techniques. Further, Compound 86 was found to inhibit recombinant TBEV protease with an IC50 = 0.92 µM in the in vitro enzymatic assay. Additionally, two more peptidic analogues were synthetized and they displayed inhibitory activities against both TBEV and ZIKV proteases. In particular, Compound 104 inhibited ZIKV protease with an IC50 = 0.25 µM. These compounds represent the first reported inhibitors of TBEV protease to date and provides valuable information for the further development of TBEV as well as pan-flavivirus protease inhibitors.

An integrated transcriptomic and proteomic approach to identify the main Torymus sinensis venom components.

During oviposition, ectoparasitoid wasps not only inject their eggs but also a complex mixture of proteins and peptides (venom) in order to regulate the host physiology to benefit their progeny. Although several endoparasitoid venom proteins have been identified, little is known about the components of ectoparasitoid venom. To characterize the protein composition of Torymus sinensis Kamijo (Hymenoptera: Torymidae) venom, we used an integrated transcriptomic and proteomic approach and identified 143 venom proteins. Moreover, focusing on venom gland transcriptome, we selected additional 52 transcripts encoding putative venom proteins. As in other parasitoid venoms, hydrolases, including proteases, phosphatases, esterases, and nucleases, constitute the most abundant families in T. sinensis venom, followed by protease inhibitors. These proteins are potentially involved in the complex parasitic syndrome, with different effects on the immune system, physiological processes and development of the host, and contribute to provide nutrients to the parasitoid progeny. Although additional in vivo studies are needed, initial findings offer important information about venom factors and their putative host effects, which are essential to ensure the success of parasitism.

An Updated Review on SARS-CoV-2 Main Proteinase (MPro): Protein Structure and Small-Molecule Inhibitors.

[Coronaviruses (CoVs) are enveloped positive-stranded RNA viruses with spike (S) protein projections that allow the virus to enter and infect host cells. The S protein is a key virulence factor determining viral pathogenesis, host tropism, and disease pathogenesis. There are currently diverse corona viruses that are known to cause disease in humans. The occurrence of Middle East respiratory syndrome coronavirus (MERS-CoV) and Severe Acute Respiratory Syndrome coronavirus (SARS-CoV), as fatal human CoV diseases, has induced significant interest in the medical field. The novel coronavirus disease (COVID-19) is an infectious disease caused by a novel strain of coronavirus (SAR-CoV-2). The SARS-CoV2 outbreak has been evolved in Wuhan, China, in December 2019, and identified as a pandemic in March 2020, resulting in 53.24 M cases and 1.20M deaths worldwide. SARS-CoV-2 main proteinase (MPro), a key protease of CoV-2, mediates viral replication and transcription. SARS-CoV-2 MPro has been emerged as an attractive target for SARS-CoV-2 drug design and development. Diverse scaffolds have been released targeting SARS-CoV-2 MPro. In this review, we culminate the latest published information about SARS-CoV-2 main proteinase (MPro) and reported inhibitors.

Docking Paradigm in Drug Design.

Docking is in demand for the rational computer aided structure based drug design. A review of docking methods and programs is presented. Different types of docking programs are described. They include docking of non-covalent small ligands, protein-protein docking, supercomputer docking, quantum docking, the new generation of docking programs and the application of docking for covalent inhibitors discovery. Taking into account the threat of COVID-19, we present here a short review of docking applications to the discovery of inhibitors of SARS-CoV and SARS-CoV-2 target proteins, including our own result of the search for inhibitors of SARS-CoV-2 main protease using docking and quantum chemical post-processing. The conclusion is made that docking is extremely important in the fight against COVID-19 during the process of development of antivirus drugs having a direct action on SARS-CoV-2 target proteins.

Biochemical and Computational Approach of Selected Phytocompounds from Tinospora crispa in the Management of COVID-19.

A pandemic caused by the novel coronavirus (SARS-CoV-2 or COVID-19) began in December 2019 in Wuhan, China, and the number of newly reported cases continues to increase. More than 19.7 million cases have been reported globally and about 728,000 have died as of this writing (10 August 2020). Recently, it has been confirmed that the SARS-CoV-2 main protease (Mpro) enzyme is responsible not only for viral reproduction but also impedes host immune responses. The Mpro provides a highly favorable pharmacological target for the discovery and design of inhibitors. Currently, no specific therapies are available, and investigations into the treatment of COVID-19 are lacking. Therefore, herein, we analyzed the bioactive phytocompounds isolated by gas chromatography-mass spectroscopy (GC-MS) from Tinospora crispa as potential COVID-19 Mpro inhibitors, using molecular docking study. Our analyses unveiled that the top nine hits might serve as potential anti-SARS-CoV-2 lead molecules, with three of them exerting biological activity and warranting further optimization and drug development to combat COVID-19.

Design and Evaluation of Anti-SARS-Coronavirus Agents Based on Molecular Interactions with the Viral Protease.

Three types of new coronaviruses (CoVs) have been identified recently as the causative viruses for the severe pneumonia-like respiratory illnesses, severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS), and corona-virus disease 2019 (COVID-19). Neither therapeutic agents nor vaccines have been developed to date, which is a major drawback in controlling the present global pandemic of COVID-19 caused by SARS coronavirus 2 (SARS-CoV-2) and has resulted in more than 20,439,814 cases and 744,385 deaths. Each of the 3C-like (3CL) proteases of the three CoVs is essential for the proliferation of the CoVs, and an inhibitor of the 3CL protease (3CLpro) is thought to be an ideal therapeutic agent against SARS, MERS, or COVID-19. Among these, SARS-CoV is the first corona-virus isolated and has been studied in detail since the first pandemic in 2003. This article briefly reviews a series of studies on SARS-CoV, focusing on the development of inhibitors for the SARS-CoV 3CLpro based on molecular interactions with the 3CL protease. Our recent approach, based on the structure-based rational design of a novel scaffold for SARS-CoV 3CLpro inhibitor, is also included. The achievements summarized in this short review would be useful for the design of a variety of novel inhibitors for corona-viruses, including SARS-CoV-2.

Peptide-based protease inhibitors from plants.

Proteases have an important role in homeostasis, and dysregulation of protease function can lead to pathogenesis. Therefore, proteases are promising drug targets in cancer, inflammation, and neurodegenerative disease research. Although there are well-established pharmaceuticals on the market, drug development for proteases is challenging. This is often caused by the limited selectivity of currently available lead compounds. Proteinaceous plant protease inhibitors are a diverse family of (poly)peptides that are important to maintain physiological homeostasis and to serve the innate defense machinery of the plant. In this review, we provide an overview of the diversity of plant peptide- and protein-based protease inhibitors (PIs), provide examples of such compounds that target human proteases, and discuss opportunities for these molecules in protease drug discovery and development.

A proteomic comparison of excretion/secretion products in Fasciola hepatica newly excysted juveniles (NEJ) derived from Lymnaea viatrix or Pseudosuccinea columella.

The characteristics of parasitic infections are often tied to host behavior. Although most studies have investigated definitive hosts, intermediate hosts can also play a role in shaping the distribution and accumulation of parasites. This is particularly relevant in larval stages, where intermediate host's behavior could potentially interfere in the molecules secreted by the parasite into the next host during infection. To investigate this hypothesis, we used a proteomic approach to analyze excretion/secretion products (ESP) from Fasciola hepatica newly excysted juveniles (NEJ) derived from two intermediate host species, Lymnaea viatrix and Pseudosuccinea columella. The two analyzed proteomes showed differences in identity, abundance, and functional classification of the proteins. This observation could be due to differences in the biological cycle of the parasite in the host, environmental aspects, and/or host-dependent factors. Categories such as protein modification machinery, protease inhibitors, signal transduction, and cysteine-rich proteins showed different abundance between samples. More specifically, differences in abundance of individual proteins such as peptidyl-prolyl cis-trans isomerase, thioredoxin, cathepsin B, cathepsin L, and Kunitz-type inhibitors were identified. Based on the differences identified between NEJ ESP samples, we can conclude that the intermediate host is a factor influencing the proteomic profile of ESP in F. hepatica.

Inhibidores de la proproteína convertasa plasmática subtilisina kexina tipo 9 y riesgo de cataratas: revisión sistemática y metaanálisis / Plasma proprotein convertase subtilisin/kexin type 9 inhibitors and cataract risk: A systematic review and meta-analysis

Antecedentes: El marcado descenso en los niveles de C-LDL producidos por los inhibidores de la proproteína convertasa plasmática subtilisina kexina tipo 9 (iPCSK9) podría asociarse con un mayor riesgo de cataratas. Métodos: Realizamos un metaanálisis que incluyó ensayos clínicos aleatorizados y controlados con iPCSK9, solos o combinados con otros fármacos hipolipidemiantes, que reportaron nuevos casos de cataratas, buscando en PubMed/Medline, bases de datos de EMBASE y Cochrane Clinical Trials. Se utilizó un modelo de efectos fijos y se realizó una metarregresión evaluando la relación entre el C-LDL intratratamiento y el riesgo de desarrollar cataratas. Resultados: Se tomaron en cuenta 5 estudios elegibles con iPCSK9 que incluyeron 83.492 pacientes para el análisis, refiriendo 531 nuevos casos de cataratas en el grupo con iPCSK9 frente a 532 en el grupo placebo. La terapia con iPCSK9 no se asoció con un mayor riesgo de presentar cataratas (OR: 0,96; IC 95%: 0,85-1,08; p = 0,86, I2: 0%]. Asimismo, no se encontró una asociación significativa entre la diferencia de C-LDL intratratamiento entre las ramas de los estudios y el riesgo de cataratas. Conclusión. En nuestro análisis, la utilización de iPCSK9 no se asoció con un mayor riesgo de cataratas

Background: The marked decrease in LDL-C levels produced by the inhibitors of the plasma proprotein convertase subtilisin/kexin type 9 (iPCSK9) could be associated with an increased risk of cataracts. Methods: A meta-analysis was performed that included randomised clinical trials controlled with iPCSK9, alone, or in combination with other lipid-lowering drugs, which reported new cases of cataracts, by searching PubMed/Medline, databases of EMBASE and Cochrane Clinical Trials. A fixed-effect model was used, and a meta-regression was carried out evaluating the relationship between intra-treatment LDL-C and the risk of developing cataracts. Results: Five eligible studies of iPCSK9 including 83,492 patients were taken into account for the analysis, and 531 new cases of cataracts in iPCSK9 group vs. 532 in placebo group were diagnosed. The iPCSK9 therapy was not associated with an increased risk of cataracts [OR: 0.96, 95% CI: 0.85-1.08; P = .86, I2: 0%]. Likewise, no significant association was found between on-treatment LDL-C levels, differences between study arms, and new cases of cataracts. Conclusion: In this analysis, the use of iPCSK9 was not associated with an increased risk of cataracts

Host Cell Proteome of Physcomitrella patens Harbors Proteases and Protease Inhibitors under Bioproduction Conditions.

Host cell proteins are inevitable contaminants of biopharmaceuticals. Here, we performed detailed analyses of the host cell proteome of moss ( Physcomitrella patens) bioreactor supernatants using mass spectrometry and subsequent bioinformatics analysis. Distinguishing between the apparent secretome and intracellular contaminants, a complex extracellular proteolytic network including subtilisin-like proteases, metallo-proteases, and aspartic proteases was identified. Knockout of a subtilisin-like protease affected the overall extracellular proteolytic activity. Besides proteases, also secreted protease-inhibiting proteins such as serpins were identified. Further, we confirmed predicted cleavage sites of 40 endogenous signal peptides employing an N-terminomics approach. The present data provide novel aspects to optimize both product stability of recombinant biopharmaceuticals as well as their maturation along the secretory pathway. Data are available via ProteomeXchange with identifier PXD009517.

Protease Inhibitors in Tick Saliva: The Role of Serpins and Cystatins in Tick-host-Pathogen Interaction.

The publication of the first tick sialome (salivary gland transcriptome) heralded a new era of research of tick protease inhibitors, which represent important constituents of the proteins secreted via tick saliva into the host. Three major groups of protease inhibitors are secreted into saliva: Kunitz inhibitors, serpins, and cystatins. Kunitz inhibitors are anti-hemostatic agents and tens of proteins with one or more Kunitz domains are known to block host coagulation and/or platelet aggregation. Serpins and cystatins are also anti-hemostatic effectors, but intriguingly, from the translational perspective, also act as pluripotent modulators of the host immune system. Here we focus especially on this latter aspect of protease inhibition by ticks and describe the current knowledge and data on secreted salivary serpins and cystatins and their role in tick-host-pathogen interaction triad. We also discuss the potential therapeutic use of tick protease inhibitors.

Twenty years of the MEROPS database of proteolytic enzymes, their substrates and inhibitors.

The MEROPS database (http://merops.sanger.ac.uk) is an integrated source of information about peptidases, their substrates and inhibitors, which are of great relevance to biology, medicine and biotechnology. The hierarchical classification of the database is as follows: homologous sets of sequences are grouped into a protein species; protein species are grouped into a family; families are grouped into clans. There is a type example for each protein species (known as a 'holotype'), family and clan, and each protein species, family and clan has its own unique identifier. Pages to show the involvement of peptidases and peptidase inhibitors in biological pathways have been created. Each page shows the peptidases and peptidase inhibitors involved in the pathway, along with the known substrate cleavages and peptidase-inhibitor interactions, and a link to the KEGG database of biological pathways. Links have also been established with the IUPHAR Guide to Pharmacology. A new service has been set up to allow the submission of identified substrate cleavages so that conservation of the cleavage site can be assessed. This should help establish whether or not a cleavage site is physiologically relevant on the basis that such a cleavage site is likely to be conserved.

Classification models of HCV NS3 protease inhibitors based on support vector machine (SVM).

Inhibition of the hepatitis C virus (HCV) non-structural protein 3 (NS3) serine protease by molecule inhibitors is an attractive strategy for the treatment of hepatitis C. We built four classification models based on a dataset of 413 HCV NS3 protease inhibitors using support vector machine method. The best performing model obtains the best prediction performance for the test set with prediction accuracy, sensitivity (SE), specificity (SP) and Matthews correlation coefficient (MCC) of 90.76%, 92.21%, 88.10% and 0.799, respectively. The number of rotatable bonds (NRotBond), charge and electronegativity related properties were found to be correlated with the bioactivity of the inhibitors. The ECFP_4 analyses of structural features were performed and it was found that the cyclopropyl with acylsulfonamide group was the unique substructure in the active inhibitors. The method with dataset split by Kohonen's self-organizing map and descriptors selected by SVMAttributeEval presented in this study can be employed in virtual screening for discovering novel inhibitors of HCV NS3 protease.

MEROPS: the database of proteolytic enzymes, their substrates and inhibitors.

Peptidases, their substrates and inhibitors are of great relevance to biology, medicine and biotechnology. The MEROPS database (http://merops.sanger.ac.uk) aims to fulfill the need for an integrated source of information about these. The database has hierarchical classifications in which homologous sets of peptidases and protein inhibitors are grouped into protein species, which are grouped into families, which are in turn grouped into clans. Recent developments include the following. A community annotation project has been instigated in which acknowledged experts are invited to contribute summaries for peptidases. Software has been written to provide an Internet-based data entry form. Contributors are acknowledged on the relevant web page. A new display showing the intron/exon structures of eukaryote peptidase genes and the phasing of the junctions has been implemented. It is now possible to filter the list of peptidases from a completely sequenced bacterial genome for a particular strain of the organism. The MEROPS filing pipeline has been altered to circumvent the restrictions imposed on non-interactive blastp searches, and a HMMER search using specially generated alignments to maximize the distribution of organisms returned in the search results has been added.

Fungal inhibitors of proteolytic enzymes: classification, properties, possible biological roles, and perspectives for practical use.

Peptidase inhibitors are ubiquitous regulatory proteins controlling catalytic activity of proteolytic enzymes. Interest in these proteins increased substantially after it became clear that they can be used for therapy of various important diseases including cancer, malaria, and autoimmune and neurodegenerative diseases. In this review we summarize available data on peptidase inhibitors from fungi, emphasizing their properties, biological role, and possible practical applications of these proteins in the future. A number of fungal peptidase inhibitors with unique structure and specificity of action have no sequence homology with other classes of peptidase inhibitors, thus representing new and specific candidates for therapeutic use. The main classifications of inhibitors in current use are considered. Available data on structure, mechanisms and conditions of action, and diversity of functions of peptidase inhibitors of fungi are analyzed. It is mentioned that on one side the unique properties of some inhibitors can be used for selective inhibition of peptidases responsible for initiation and development of pathogenic processes. On the other side, general inhibitory activity of other inhibitors towards peptidases of various catalytic classes might be able to provide efficient defense of transgenic plants against insect pests by overcoming compensatory synthesis of new peptidases by these pests in response to introduction of a fungal inhibitor. Together, the data analyzed in this review reveal that fungal inhibitors extend the spectrum of known peptidase inhibitors potentially suitable for use in medicine and agriculture.

Synthesis and antitumor activity of 1,3,4-oxadiazole possessing 1,4-benzodioxan moiety as a novel class of potent methionine aminopeptidase type II inhibitors.

A series of 1,3,4-oxadiazole derivatives containing 1,4-benzodioxan moiety (7a-7q) have been designed, synthesized and evaluated for their antitumor activity. Most of the synthesized compounds were proved to have potent antitumor activity and low toxicity. Among them, compound 7a showed the most potent biological activity against Human Umbilical Vein Endothelial cells, which was comparable to the positive control. The results of apoptosis and flow cytometry (FCM) demonstrated that compound 7a induce cell apoptosis by the inhibition of MetAP2 pathway. Molecular docking was performed to position compound 7a into MetAP2 binding site in order to explore the potential target.

O-hydroxyacetamide carbamates as a highly potent and selective class of endocannabinoid hydrolase inhibitors.

The two major endocannabinoid transmitters, anandamide (AEA) and 2-arachidonoylglycerol (2-AG), are degraded by distinct enzymes in the nervous system, fatty acid amide hydrolase (FAAH) and monoacylglycerol lipase (MAGL), respectively. FAAH and MAGL inhibitors cause elevations in brain AEA and 2-AG levels, respectively, and reduce pain, anxiety, and depression in rodents without causing the full spectrum of psychotropic behavioral effects observed with direct cannabinoid receptor-1 (CB1) agonists. These findings have inspired the development of several classes of endocannabinoid hydrolase inhibitors, most of which have been optimized to show specificity for either FAAH or MAGL or, in certain cases, equipotent activity for both enzymes. Here, we investigate an unusual class of O-hydroxyacetamide carbamate inhibitors and find that individual compounds from this class can serve as selective FAAH or dual FAAH/MAGL inhibitors in vivo across a dose range (0.125-12.5 mg kg(-1)) suitable for behavioral studies. Competitive and click chemistry activity-based protein profiling confirmed that the O-hydroxyacetamide carbamate SA-57 is remarkably selective for FAAH and MAGL in vivo, targeting only one other enzyme in brain, the additional 2-AG hydrolase ABHD6. These data designate O-hydroxyacetamide carbamates as a versatile chemotype for creating endocannabinoid hydrolase inhibitors that display excellent in vivo activity and tunable selectivity for FAAH-anandamide versus MAGL (and ABHD6)-2-AG pathways.