Fragment-based Drug Design Approach Research Articles

Fragment-based drug design of novel inhibitors targeting lipoprotein (a) kringle domain KIV-10-mediated cardiovascular disease.

Cardiovascular diseases (CVDs) are the leading cause of death globally, attributed to a complex etiology involving metabolic, genetic, and protein-related factors. Lipoprotein(a) (Lp(a)), identified as a genetic risk factor, exhibits elevated levels linked to an increased risk of cardiovascular diseases. The lipoprotein(a) kringle domains have recently been identified as a potential target for the treatment of CVDs, in this study we utilized a fragment-based drug design approach to design a novel, potent, and safe inhibitor for lipoprotein(a) kringle domain. With the use of fragment library (61,600 fragments) screening, combined with analyses such as MM/GBSA, molecular dynamics simulation (MD), and principal component analysis, we successfully identified molecules effective against the kringle domains of Lipoprotein(a). The hybridization process (Breed) of the best fragments generated a novel 249 hybrid molecules, among them 77 exhibiting superior binding affinity (≤ -7kcal/mol) compared to control AZ-02 (-6.9kcal/mol), Importantly, the top ten molecules displayed high similarity to the control AZ-02. Among the top ten molecules, BR1 exhibited the best docking energy (-11.85kcal/mol ), and higher stability within the protein LBS site, demonstrating the capability to counteract the pathophysiological effects of lipoprotein(a) [Lp(a)]. Additionally, principal component analysis (PCA) highlighted a similar trend of motion during the binding of BR1 and the control compound (AZ-02), limiting protein mobility and reducing conformational space. Moreover, ADMET analysis indicated favorable drug-like properties, with BR1 showing minimal violations of Lipinski's rules. Overall, the identified compounds hold promise as potential therapeutics, addressing a critical need in cardiovascular medicine. Further preclinical and clinical evaluations are needed to validate their efficacy and safety, potentially ushering in a new era of targeted therapies for CVDs.

Constructing Innovative Covalent and Noncovalent Compound Libraries: Insights from 3D Protein-Ligand Interactions.

Noncovalent interactions between small-molecule drugs and protein targets assume a pivotal role in drug design. Moreover, the design of covalent inhibitors, forming covalent bonds with amino acid residues, requires rational reactivity for their covalent warheads, presenting a key challenge as well. Understanding the intricacies of these interactions provides a more comprehensive understanding of molecular binding mechanisms, thereby guiding the rational design of potent inhibitors. In this study, we adopted the fragment-based drug design approach, introducing a novel methodology to extract noncovalent and covalent fragments according to distinct three-dimensional (3D) interaction modes from noncovalent and covalent compound libraries. Additionally, we systematically replaced existing ligands with rational fragment substitutions, based on the spatial orientation of fragments in 3D space. Furthermore, we adopted a molecular generation approach to create innovative covalent inhibitors. This process resulted in the recombination of a noncovalent compound library and several covalent compound libraries, constructed by two commonly encountered covalent amino acids: cysteine and serine. We utilized noncovalent ligands in KLIFS and covalent ligands in CovBinderInPDB as examples to recombine noncovalent and covalent libraries. These recombined compound libraries cover a substantial portion of the chemical space present in the original compound libraries and exhibit superior performance in terms of molecular scaffold diversity compared to the original compound libraries and other 11 commercial libraries. We also recombined BTK-focused libraries, and 23 compounds within our libraries have been validated by former researchers to possess potential biological activity. The establishment of these compound libraries provides valuable resources for virtual screening of covalent and noncovalent drugs targeting similar molecular targets.

Computational fragment-based drug design of potential Glo-I inhibitors

In this study, a fragment-based drug design approach, particularly de novo drug design, was implemented utilising three different crystal structures in order to discover new privileged scaffolds against glyoxalase-I enzyme as anticancer agents. The fragments were evoluted to indicate potential inhibitors with high receptor affinities. The resulting compounds were served as a benchmark for choosing similar compounds from the ASINEX® database by applying different computational ligand-based drug design techniques. Afterwards, the selection of potential hits was further aided by various structure-based approaches. Then, 14 compounds were purchased, and tested in vitro against Glo-I enzyme. Of the tested 14 hits, the biological screening results showed humble activities where the percentage of Glo-I inhibition ranged from 0–18.70 %. Compound 19 and compound 28, whose percentage of inhibitions are 18.70 and 15.80%, respectively, can be considered as hits that need further optimisation in order to be converted into lead-like compounds.

In Silico Study of Potential Small Molecule TIPE2 Inhibitors for the Treatment of Cancer

Context: Chronic inflammation has been linked to cancer since the 19th century. Tumor growth is supported by the proangiogenic factors that chronic inflammation requires. Polarized leukocytes initiate these angiogenic and tumorigenic factors. TIPE2, a transport protein, manages the cytoskeletal rearrangement that gives a polarized leukocyte its motility. Inhibition of this protein could lead to a therapeutic option for solid tumor cancers; however, no such inhibitors have been developed so far due to the large cavity size of the TIPE2 protein. Here we have examined possible small molecule inhibitors by combining structure-based and fragment-based drug design approaches. The highest binding ligands were complexed with the protein, and fragment libraries were docked with the complex with the intention of linking the hit compounds and fragments to design a more potent ligand. Three hit compounds were identified by in silico structure-based screening and a linked compound, C2–F14, of excellent binding affinity, was identified by linking fragments to the hit compounds. C2–F14 demonstrates good binding stability in molecular dynamic simulations and great predicted ADME properties. Methods: High throughput molecular docking calculations of mass libraries were performed using AutoDock Vina 1.1.2. Molecular docking of individual ligands was performed using AutoDock Vina with PyRx. Ligand libraries were prepared using OpenBabel, linked ligands were prepared using Avogadro. The protein was prepared using AutoDockTools-1.5.6. Protein-ligand complexes were visualized with PyMOL. Two- and three-dimensional representations of protein–ligand interactions were plotted with BIOVIA Discovery Studio Visualizer. In silico absorption, distribution, metabolism, and excretion (ADME) properties were calculated using SwissADME. Molecular dynamics simulations were conducted with GROMACS.

Development of selective class I protein arginine methyltransferase inhibitors through fragment-based drug design approach

Protein arginine methyltransferases (PRMTs) catalyze the methylation of the terminal nitrogen atoms of the guanidino group of arginine of protein substrates. The aberrant expression of these methyltransferases is linked to various diseases, making them promising therapeutic targets. Currently, PRMT inhibitors are at different stages of clinical development, which validated their significance as drug targets. Structural Genomics Consortium (SGC) has reported several small fragment inhibitors as Class I PRMT inhibitors, which can be the starting point for rational drug development. Herein, we report the successful application of a fragment-based approach toward the discovery of selective Class I PRMT inhibitors. Structure-based ligand optimization was performed by strategic incorporation of fragment hits on the drug-like quinazoline core and subsequent fragment growth in the desired orientation towards identified hydrophobic shelf. A clear SAR was established, and the lead compounds 55 and 56 displayed potent inhibition of Class I PRMTs with IC50 values of 92 nM and 37 nM against PRMT4. We report the systematic development of potent Class I PRMT inhibitors with good potency and about 100-fold selectivity when tested against a panel of 31 human DNA, RNA, and protein lysine and arginine methyltransferases. These improved small molecules will provide new options for the development of novel potent and selective PRMT4 inhibitors.

Discovery and optimization of natural-based nanomolar c-Kit inhibitors via in silico and in vitro studies

c-Kit is a receptor tyrosine kinase which is involved in intracellular signaling and mutations of c-Kit have been associated with various types of cancers. Investigations have shown that inhibition of c-Kit, using tyrosine kinase inhibitors, yielded promising results in cancer treatment marking it as a promising target for cancer therapy. However, the emerging resistance for the current therapy necessitates the development of more potent inhibitors which are not affected by these mutations. Herein, virtual screening of a library of natural-based compounds yielded three hits (2, 5 and 6) which possessed nanomolar inhibitory (2.02, 4.33 and 2.80 nM, respectively) activity when tested in vitro against c-Kit. Single point mutation docking studies showed the hits to be unaffected by the most common resistance mutation in imatinib-resistant cells, mutation of Val654. Although, the top hits exhibited around 3000 higher inhibitory potency toward c-Kit when compared to imatinib (5.4 µM), previous studies have shown that they are metabolically unstable. Fragment-based drug design approaches were then employed to enhance binding affinity of the top hit and make it more metabolically stable. Screening of the generated fragments yielded a new derivative, F1, which demonstrated stronger binding affinity, stability and binding free energy when compared to the hit compound 2. Communicated by Ramaswamy H. Sarma

Structure-based design, synthesis and biological evaluation of a NAD+ analogue targeting Pseudomonas aeruginosa NAD kinase.

Multidrug resistance is a major public health problem that requires the urgent development of new antibiotics and therefore the identification of novel bacterial targets. The activity of nicotinamide adenine dinucleotide kinase, NADK, is essential in all bacteria tested so far, including many human pathogens that display antibiotic resistance leading to the failure of current treatments. Inhibiting NADK is therefore a promising and innovative antibacterial strategy since there is currently no drug on the market targeting this enzyme. Through a fragment-based drug design approach, we have recently developed a NAD+ -competitive inhibitor of NADKs, which displayed in vivo activity against Staphylococcus aureus. Here, we show that this compound, a di-adenosine derivative, is inactive against the NADK enzyme from the Gram-negative bacteria Pseudomonas aeruginosa (PaNADK). This lack of activity can be explained by the crystal structure of PaNADK, which was determined in complex with NADP+ in this study. Structural analysis led us to design and synthesize a benzamide adenine dinucleoside analogue, active against PaNADK. This novel compound efficiently inhibited PaNADK enzymatic activity in vitro with a Ki of 4.6 μm. Moreover, this compound reduced P. aeruginosa infection in vivo in a zebrafish model.

Novel drug design framework as a response to neglected and emerging diseases

A new de novo drug design procedure, applicable in the circumstances of scarcity of experimental data, is proposed. The proposed method integrates de novo and fragment-based drug design approaches. This protocol is uncomplicated, uses openly available resources and can be used to design new molecules that would inhibit the newly discovered or under researched targets. The new potential inhibitors are modelled based on energy minima of small molecules in the binding site. The designed structures are modified following an in-house developed, unambiguous algorithm. These modifications improve predicted binding affinities and pharmacokinetic properties of the designed compounds. The suitability of the proposed drug design approach is confirmed by molecular dynamics simulations, and analysis of both binding modes and binding energies of drug candidates (calculated using MM/PBSA method). Lastly, alternative retrosynthetic approaches to the drug candidates are proposed. Communicated by Ramaswamy H. Sarma

Fragment-based drug design targeting syntenin PDZ2 domain involved in exosomal release and tumour spread.

Syntenin stimulates exosome production and its expression is upregulated in many cancers and implicated in the spread of metastatic tumor. These effects are supported by syntenin PDZ domains interacting with syndecans. We therefore aimed to develop, through a fragment-based drug design approach, novel inhibitors targeting syntenin-syndecan interactions. We describe here the optimization of a fragment, 'hit' C58, identified by invitro screening of a PDZ-focused fragment library, which binds specifically to the syntenin-PDZ2 domain at the same binding site as the syndecan-2 peptide. X-ray crystallographic structures and computational docking were used to guide our optimization process and lead to compounds 45 and 57 (IC50=33μM and 47μM; respectively), two representatives of syntenin-syndecan interactions inhibitors, that selectively affect the syntenin-exosome release. These findings demonstrate that it is possible to identify small molecules inhibiting syntenin-syndecan interaction and exosome release that may be useful for cancer therapy.

Elaboration of a benzofuran scaffold and evaluation of binding affinity and inhibition of Escherichia coli DsbA: A fragment-based drug design approach to novel antivirulence compounds

Bacterial thiol-disulfide oxidoreductase DsbA is essential for bacterial virulence factor assembly and has been identified as a viable antivirulence target. Herein, we report a structure-based elaboration of a benzofuran hit that bound to the active site groove of Escherichia coli DsbA. Substituted phenyl groups were installed at the 5- and 6-position of the benzofuran using Suzuki-Miyaura coupling. HSQC NMR titration experiments showed dissociation constants of this series in the high µM to low mM range and X-ray crystallography produced three co-structures, showing binding in the hydrophobic groove, comparable with that of the previously reported benzofurans. The 6-(m-methoxy)phenyl analogue (2b), which showed a promising binding pose, was chosen for elaboration from the C-2 position. The 2,6-disubstituted analogues bound to the hydrophobic region of the binding groove and the C-2 groups extended into the more polar, previously un-probed, region of the binding groove. Biochemical analysis of the 2,6-disubsituted analogues showed they inhibited DsbA oxidation activity in vitro. The results indicate the potential to develop the elaborated benzofuran series into a novel class of antivirulence compounds.

HJC0416 Attenuates Fibrogenesis in Activated Hepatic Stellate Cells via STAT3 and NF-κB Pathways

BackgroundHepatic fibrosis is wound-healing response that is the result of hepatic stellate cell (HSC) activation and subsequent excess extracellular matrix deposition. HSCs can be activated by a variety of inflammatory stimuli as well as through the signal transducer and activator of transcription 3 (STAT3) pathway. HJC0416 is a novel, orally bioavailable small-molecule inhibitor of STAT3 that was developed by our team using a fragment-based drug design approach. Previously, our team has shown that HJC0416 has antifibrogenic effects in activated HSCs. Recently, increasing evidence suggests that nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) plays an important role in the activation of HSCs. In the present study, we examined the role of NF-κB inhibition of HSC activation by HJC0416. MethodsLX-2 (human) and HSC-T6 (rat) cell lines were used. Expression levels of extracellular proteins, NF-κB and STAT3 expression and DNA binding, and inflammatory cytokine levels were determined using western blot, ELISA, and immunofluorescence assay. ResultsHJC0416 decreased cell viability in a dose-dependent manner in both cell lines and arrested the cell cycle at the S phase. Increased apoptosis was seen in LX-2 cells through Yo-Pro-1 and propidium iodide immunofluorescent stating. HJC0416 significantly decreased expression of fibronectin and collagen I as well as markedly decreased α-SMA and laminin. HJC0416 inhibited the STAT3 pathway by decreasing phosphorylation of STAT3, as well as signal transduction pathway activation. Notably, HJC0416 also inhibited the classic and alternative pathways of NF-κB activation. HJC0416 inhibited LPS-induced p65 nuclear translocation and DNA binding, as well as prevented phosphorylation and degradation of inhibitory protein IκBα. HJC0416 also prevented phosphorylation of serine residue 536 on p65. ConclusionsHJC0416, an inhibitor of STAT3, was found to have antifibrogenic properties in activated hepatic stellate cell lines. In addition, HJC0416 was found to inhibit the NF-κB pathway. Owing to this double effect, HJC0416 demonstrates promise for in vivo experimentation as an antifibrosis treatment.

Miniaturized weak affinity chromatography for ligand identification of nanodiscs-embedded G-protein coupled receptors

Biophysical techniques that enable the screening and identification of weak affinity fragments against a target protein are at the heart of Fragment Based Drug Design approaches. In the case of membrane proteins, the crucial criteria for fragment screening are low protein consumption, unbiased conformational states and rapidity because of the difficulties in obtaining sufficient amounts of stable and functionally folded proteins. Here we show for the first time that lipid-nanodisc systems (membrane-mimicking environment) and miniaturized affinity chromatography can be combined to identify specific small molecule ligands that bind to an integral membrane protein. The approach was exemplified using the AA2AR GPCR. Home-made affinity nano-columns modified with nanodiscs-embedded AA2AR (only about 1 μg of protein per column) were fully characterized by frontal chromatographic experiments. This method allows (i) to distinguish specific and unspecific ligand/receptor interactions, (ii) to assess dissociation constants, (iii) to identify the binding pocket of uncharacterized ligands using a reference compound (whose binding site is known) with competition experiments. Weak affinity ligands with Kd in the low to high micromolar range can be detected. At last, the applicability of this method was demonstrated with 6 fragments recently identified as ligands or non-ligands of AA2AR.

Fragment-based discovery of flexible inhibitor targeting wild-type acetohydroxyacid synthase and P197L mutant.

Intensifying weed resistance has challenged the use of existing acetohydroxyacid synthase (AHAS)-inhibiting herbicides. Hence, there is currently an urgent requirement for the discovery of a new AHAS inhibitor to effectively control AHAS herbicide-resistant weed species produced by target mutation. To combat weed resistance caused by AHAS with P197L mutation, we built a structure library consisting of pyrimidinyl-salicylic acid derivatives. Using the pharmacophore-linked fragment virtual screening (PFVS) approach, hit compound 8 bearing 6-phenoxymethyl substituent was identified as a potential AHAS inhibitor with antiresistance effect. Subsequently, derivatives of compound 8 were synthesized and evaluated for their inhibitory activities. The study of the enzyme-based structure-activity relationship and structure-resistance relationship studies led to the discovery of a qualified candidate, 28. This compound not only significantly inhibited the activity of wild-type Arabidopsis thaliana (At) AHAS and P197L mutant, but also exhibited good antiresistance properties (RF = 0.79). Notably, compared with bispyribac at 37.5-150 g of active ingredient per hectare (g a.i. ha-1 ), compound 27 exhibited higher growth inhibition against both sensitive and resistant Descurainia sophia, CONCLUSION: The title compounds have great potential to be developed as new leads to effectively control herbicide-resistant weeds comprising AHAS with P197L mutation. Also, our study provided a positive case for discovering novel, potent and antiresistance inhibitors using a fragment-based drug design approach.

DISCOVERY OF NOVEL DNMT-1 INHIBITOR BY FRAGMENT-BASED DRUG DESIGN AS A POTENTIAL BREAST CANCER TREATMENT

Breast cancer is the most common and lethal type of cancer among women in the world. Epimutation is the leading cause of the tumorigenesis of breast cancer. DNA methyltransferase 1 (DNMT1) is the key enzyme involved in the regulation of DNA methylation pattern. In this research, the fragment-based drug design approach on natural products was performed to discover a novel inhibitor of the DNMT1 as a therapeutic strategy against breast cancer. About 2,601 fragments out of 168,646 compounds were obtained from the Lipinski’s Rule of Three and toxicity screening. The fragments were docked into the S-Adenosyl-L-methionine (SAM) binding site of DNMT1. The potential fragments were merged with S-Adenosyl-L-homocysteine (SAH), generating nine ligands. The ligands underwent flexible docking simulation and ADME-Tox prediction by using AdmetSAR, Toxtree, SwissADME software. Three ligands show favorable characteristics as a new drug candidate for the DNMT1 inhibitor according to the interaction of the amino acid residues, RMSD, and ∆Gbinding. MAHI1 being the best ligands in term of ∆Gbinding -12.6300 kcal/mol, molecular interaction, and pharmacological properties.

Amino-carboxamide benzothiazoles as potential LSD1 hit inhibitors. Part I: Computational fragment-based drug design

The lysine specific demethylase enzyme LSD1 regulates the function of histone proteins in cells through the demethylation of specific lysine amino acid residues. Being overexpressed in various cancers, LSD1 is considered as a validated target for cancer treatment. In this study, we describe the discovery of novel LSD1 inhibitors using computational fragment-based drug design approach. Structure-based screening of the Maybridge Ro3 2000 Diversity Fragment Library had identified two sets of fragments that bind to two different regions within the LSD1 active site. De Novo and Multiple Copy Simultaneous search (MCSS) docking, ligand efficiency (LE), and binding energy calculations (BE) had assisted the selection of the best scoring fragments that were grown to produce lead-like compounds. The final grown compounds were docked into the active site of the enzyme using flexible docking and their total binding energies were calculated in order to aid the selection of potential LSD1 inhibitors that will be synthesized and biologically evaluated. Six compounds were synthesized and biologically tested, of which two had showed a promising activity against LSD1. Compound 37, with an amino-carboxamide benzothiazole scaffold, showed the best inhibitory activity with an IC50 value of 18.4 μM. Compound 37 was chosen as an LSD1 hit inhibitor worthy of further optimization.

Counting on Fragment Based Drug Design Approach for Drug Discovery.

Fragment based drug design (FBDD) is a structure guided ligand design approach used in the process of drug discovery. It involves identification of low molecular weight fragments as hits followed by determination of their binding mode using X-ray crystallography and/or NMR spectroscopy. X-ray protein crystallography is one of the most sensitive biophysical methods used for screening and is least prone to false positives. It also provides detailed structural information of the protein-fragment complex at the atomic level. The retrieved binding information facilitates the optimization of fragments into drug like molecules. These identified molecules bind efficiently with the target proteins and form high quality binding interactions. Fragment-based screening using X-ray crystallography is, therefore, an efficient method for identifying binding hotspots on proteins that can be further exploited by chemists and biologists for the discovery of new drugs. The recent advancements in FBDD technique are illustrated in this review along with recently published success stories of FBDD technique in drug discovery.

Discovery of potent, highly selective covalent irreversible BTK inhibitors from a fragment hit

Bruton's Tyrosine Kinase (BTK) is a member of the TEC kinase family that is expressed in cells of hematopoietic lineage (e.g., in B cells, macrophages, monocytes, and mast cells). Small molecule covalent irreversible BTK inhibitor targeting Cys481 within the ATP-binding pocket, for example ibrutinib, has been applied in the treatment of B-cell malignancies. Starting from a fragment hit, we discovered a novel series of potent covalent irreversible BTK inhibitors that occupy selectivity pocket of the active site of the BTK kinase domain. Guided by X-ray structures and a fragment-based drug design (FBDD) approach, we generated molecules showing comparable cellular potency to ibrutinib and higher kinome selectivity against undesirable off-targets like EGFR.

Fragment Screening of Human Kynurenine Aminotransferase-II

Kynurenine aminotransferase-II (KAT-II) is a pyridoxal 5′-phosphate (PLP)–dependent enzyme that acts in the tryptophan metabolic pathway by catalyzing the transamination of kynurenine into kynurenic acid (KYNA). It is one of four isoforms in the KAT family, of which it is the primary homologue responsible for KYNA production in the mammalian brain. KAT-II is targeted for inhibition as KYNA is implicated in diseases such as schizophrenia, where it is found in elevated concentrations. Previously, many different approaches have been taken to develop KAT-II inhibitors, and herein fragment-based drug design (FBDD) approaches have been exploited to provide further lead compounds that can be designed into novel inhibitors. Surface plasmon resonance (SPR) was used to screen a fragment library containing 1000 compounds, of which 41 hits were identified. These hits were further evaluated with SPR, and 18 were selected for inhibition studies. From these hits, two fragments, F6037-0164 and F0037-7280, were pursued and determined to have an IC50 of 524.5 (± 25.6) μM and 115.2 (± 4.5) μM, respectively. This strategy shows the viability of using FBDD in gleaning knowledge about KAT-II inhibition and generating leads for the production of KAT-II inhibitors.

In silico development of new acetylcholinesterase inhibitors

In this work, we made use of fragment-based drug design (FBDD) and de novo design to obtain more powerful acetylcholinesterase (AChE) inhibitors. AChE is associated with Alzheimer’s disease (AD). It was found that the cholinergic pathways in the cerebral cortex are compromised in AD and the accompanying cholinergic deficiency contributes to the cognitive deterioration of AD patients. In the FBDD approach, fragments are docked into the active site of the protein. As fragments are molecular groups with a low number of atoms, it is possible to study their interaction with localized amino acids. Once the interactions are measured, the fragments are organized by affinity and then linked together to form new molecules with a high degree of interaction with the active site. In the other approach, we used the de novo design technique starting from reference drugs used in the AD treatment. These drugs were broken into fragments (seeds). In the growing strategy, fragments were added to each seed, growing new molecules. In the linking strategy, two or more separated seeds were linked with different fragments. Both strategies combined produced a library of more than 2 million compounds. This library was filtered using absorption, distribution, metabolism, and excretion properties. The resulting library with around six thousand compounds was filtered again. In this case, structures with Tanimoto coefficients >.85 were discarded. The final library with 1500 compounds was submitted to docking studies. As a result, 10 compounds with better interaction energy than the reference drugs were obtained.

Discovery of novel dengue virus NS5 methyltransferase non-nucleoside inhibitors by fragment-based drug design

With the aim to help drug discovery against dengue virus (DENV), a fragment-based drug design approach was applied to identify ligands targeting a main component of DENV replication complex: the NS5 AdoMet-dependent mRNA methyltransferase (MTase) domain, playing an essential role in the RNA capping process. Herein, we describe the identification of new inhibitors developed using fragment-based, structure-guided linking and optimization techniques. Thermal-shift assay followed by a fragment-based X-ray crystallographic screening lead to the identification of three fragment hits binding DENV MTase.We considered linking two of them, which bind to proximal sites of the AdoMet binding pocket, in order to improve their potency. X-ray crystallographic structures and computational docking were used to guide the fragment linking, ultimately leading to novel series of non-nucleoside inhibitors of flavivirus MTase, respectively N-phenyl-[(phenylcarbamoyl)amino]benzene-1-sulfonamide and phenyl [(phenylcarbamoyl)amino]benzene-1-sulfonate derivatives, that show a 10–100-fold stronger inhibition of 2′-O-MTase activity compared to the initial fragments.