Comparative Quantitative Structureminus signActivity Relationship Studies on Anti-HIV Drugs

Activation of perfluoroalkyl iodides by anions: extending the scope of halogen bond activation to C(sp3)-H amidation, C(sp2)-H iodination, and perfluoroalkylation reactions

A simple, efficient, and convenient activation of perfluoroalkyl iodides by tBuONa or KOH, without expensive photo- or transition metal catalysts, allows the promotion of versatile α-sp³ C-H amidation reactions of alkyl ethers and benzylic hydrocarbons, C-H iodination of heteroaryl compounds, and perfluoroalkylations of electron-rich π bonds. Mechanistic studies show that these novel protocols are based on the halogen bond interaction between perfluoroalkyl iodides and tBuONa or KOH, which promote homolysis of perfluoroalkyl iodides under mild conditions.

General Method for the Amination of Aryl Halides with Primary and Secondary Alkyl Amines via Nickel Photocatalysis

The Buchwald-Hartwig C-N coupling reaction has been ranked as one of the 20 most frequently used reactions in medicinal chemistry. Owing to its much lower cost and higher reactivity toward less reactive aryl chlorides than palladium, the C-N coupling reaction catalyzed by Ni-based catalysts has received a great deal of attention. However, there appear to be no universal, practical Ni catalytic systems so far that could enable the coupling of electron-rich and electron-poor aryl halides with both primary and secondary alkyl amines. In this study, it is reported that a Ni(II)-bipyridine complex catalyzes efficient C-N coupling of aryl chlorides and bromides with various primary and secondary alkyl amines under direct excitation with light. Intramolecular C-N coupling is also demonstrated. The feasibility and applicability of the protocol in organic synthesis is attested by more than 200 examples.

Synthesis and development of seven-membered constrained cyclic urea based PSMA inhibitors via RCM

Intramolecular ring-closing metathesis on an N,N-diallyl Glu-urea-Gly substrate affords 7-membered cyclic ureas as inhibitors of prostrate specific membrane antigen (PMSA).

Computational study of quinoline-based thiadiazole compounds as potential antileishmanial inhibitors

Leishmaniasis is a severe disease caused by protozoan parasites of the genus Leishmania and it is accountable for sizable morbidity and mortality worldwide.

On the use of electronegativity and electron affinity based pseudo-molecular field descriptors in developing correlations for quantitative structure-activity relationship modeling of drug activities

For quantitative structure-activity relationship (QSAR) modeling in ligand-based drug discovery programs, pseudo-molecular field (PMF) descriptors using intrinsic atomic properties, namely, electronegativity and electron affinity are studied. In combination with partial least squares analysis and Procrustes transformation, these PMF descriptors were employed successfully to develop correlations that predict the activities of target protein inhibitors involved in various diseases (cancer, neurodegenerative disorders, HIV, and malaria). The results show that the present QSAR approach is competitive to existing QSAR models. In order to demonstrate the use of this algorithm, we present results of screening naturally occurring molecules with unknown bioactivities. The pIC₅₀ predictions can screen molecules that have desirable activity before assessment by docking studies.

High structural and molecular parameter diversity among chemicals with similar log P and log Koc values

Chemicals possessing persistence (P) and high mobility (M) can present a hazard to drinking water resources by traversing natural barriers like riverbanks and artificial barriers found in water treatment plants. If the chemical is also toxic (T), i.e. classifiable as a PMT, the agent might be of particular concern as a potential drinking water contaminant. During routine water sampling, detection and quantitation of polar substances with high mobility can be problematic. The German Environment Agency (UBA) is considering the use of the Log Koc value as a proxy for mobility (M). Log Koc is related to Log P by the equation Log Koc = 0.69 Log P + 0.22. In this study, we demonstrate that chemicals with log P values at or very close to 2.0, 3.0 or 4.0 (and their concomitant log Koc values) can vary significantly in their chemical structures, molecular weights, molar volumes, and calculated molar refractivity (CMR), which is related to the mean polarizability of a molecule. The large degree of potential diversity in chemical structure and molecular parameters related to chemical behavior at a particular log P or log Koc value suggests that log Koc might not contain enough information to function as a standalone surrogate for the mobility (M) of a chemical, i.e. as related to its ability to move from a drinking water resource through the water plant purification process.

Synthesis of Benzodiazepines Through Ring Opening/Ring Closure of Benzimidazole Salts

Pyrido-benzodiazepine derivatives are undoubtedly one of the most important structural motifs in the marketed drugs and the drug candidates. Commonly synthetic methods for construction of the benzodiazepine ring derivatives are based on the condensation reactions of two highly functionalized synthons. The development of synthesis for these compounds, however, is hampered by the regioselectivity and atom economy. In this work, a one-step synthesis of pyrido-benzodiazepine backbones and its analogues is achieved through continuous ring-opening hydrolysis of benzimidazole salts and intramolecular C-H bond activation. The reaction mechanism is explored by control experiments and density functional theory (DFT) calculations.

Dirhodium(II)-catalyzed [3 + 2] cycloaddition of N-arylaminocyclopropane with alkyne derivatives

Dirhodium(II) complex-catalyzed [3 + 2] reactions between N-arylaminocyclopropanes and alkyne derivatives are described. The cycloaddition products proved to be versatile synthetic intermediates. trans-Cyclic β-amino acids and derivatives thereof can be conveniently synthesized using this cycloaddition protocol.

Construction of N-S and C-N Bonds from Reactions of Benzofuroxans with DMSO or THF

Novel ring-opening reactions are achieved employing benzofuroxan as a new type of iminating or aminating reagent. These diverse transformations give access to three types of molecular scaffolds, N-aryl dimethylsulfoximines, methanesulfonamides, and hemiaminal ethers, which are important structural motifs in organic and medicinal chemistry. The procedures feature solvent-involved reactions, easily available starting materials, operational simplicity, high atom economy, and the potential further transformation of nitro group.

In Silico SAR Studies of HIV-1 Inhibitors

Quantitative Structure Activity Relationships (QSAR or SAR) have helped scientists to establish mathematical relationships between molecular structures and their biological activities. In the present article, SAR studies have been carried out on 89 tetrahydroimidazo[4,5,1-jk][1,4]benzodiazepine (TIBO) derivatives using different classifiers, such as support vector machines, artificial neural networks, random forests, and decision trees. The goal is to propose classification models that will be able to classify TIBO compounds into two groups: high and low inhibitors of HIV-1 reverse transcriptase. Each molecular structure was encoded by 10 descriptors. To check the validity of the established models, all of them were subjected to various validation tests: internal validation, Y-randomization, and external validation. The established classification models have been successful. The correct classification rates reached 100% and 90% in the learning and test sets, respectively. Finally, molecular docking analysis was carried out to understand the interactions between reverse transcriptase enzyme and the TIBO compounds studied. Hydrophobic and hydrogen bond interactions led to the identification of active binding sites. The established models could help scientists to predict the inhibition activity of untested compounds or of novel molecules prior to their synthesis. Therefore, they could reduce the trial and error process in the design of human immunodeficiency virus (HIV) inhibitors.

Ames mutagenicity, structural alerts of carcinogenicity, Hansch QSAR parameters (ClogP, CMR, MgVol), tumor site concordance/multiplicity, and tumorigenicity rank in NTP 2-year rodent studies

Since its inception in 1976, the National Toxicology Program (NTP) has conducted 594 2-year studies on rats and mice by a number of routes of administration including inhalation, feed, drinking water, dermal, and intraperitoneal injection. Of these studies, the results on 470 chemicals were of adequate technical quality to be incorporated into final technical reports. In this study, the 470 chemicals were categorized from 1 to 48 by the level of “clear” neoplastic evidence in male and female rats, and in male and female mice, and given an ordinal rank from 1 to 135 following additional considerations regarding tumor site concordance and tumor multiplicity. The resultant tumorigenicity category score and ordinal rank score were examined for associations with results in the Ames Salmonella mutagenicity assay; presence or absence of structural alerts of carcinogenicity; and three Hansch Quantitative Structure-Activity Relationship (QSAR) parameters, namely, calculated base 10 logarithm of the octanol–water partition coefficient (ClogP), calculated molar refractivity (CMR), and McGowan molecular volume (MgVol). Smaller molecular volumes were found to be associated with higher levels of tumorigenicity. Whereas lower rather than higher levels of lipophilicity were found to be associated with higher levels of tumorigenicity. Positive Ames test results were positively correlated with overall tumorigenicity and with possession of structural alerts. Since larger organic molecules have more chemical reaction centers, it was not surprising that higher ClogP values were positively correlated with the number of structural alerts. The results from this study demonstrate the ability to devise rational rules for relative tumorigenicity that correlate, in biologically plausible ways, with known parameters of toxicity.

ANN QSAR workflow for predicting the inhibition of HIV-1 reverse transcriptase by pyridinone non-nucleoside derivatives

Aim: Pyridinone derivatives have high potency against non-nucleoside reverse transcriptase inhibitor (NNRTI)-resistant human immunodeficiency virus type-1 strains. Quantitative structure–activity relationship (QSAR) studies on a series of pyridinone derivatives acting as NNRTIs are very important in designing the next generation of NNRTIs. Methodology & results: The QSAR models were developed using linear (single and forward stepwise) and combined nonlinear artificial neural network (ANN) approaches. ANN provided QSAR model with highly correlating values of 0.963, 0.964, 0.920 and 0.917, corresponding to the biological activity pIC50 of the training, validation, testing and all samples, respectively. Conclusion: The nonlinear ANN-QSAR model based on the topological polarizability, geometrical steric, hydrophobicity and substituted benzene functional group indices might be able to help for designing novel pyridinone NNRTIs.

Alphavirus Nonstructural Proteases and Their Inhibitors

Alphaviruses, such as Chikungunya virus, O’Nyong–Nyong virus, Ross River virus, have been widely known to cause fever, rash, and rheumatic diseases. In addition, several other alphaviruses, for instance Eastern equine encephalitis virus, Venezuelan equine encephalitis virus, and Western equine encephalitis virus, potentially cause fatal encephalitis in humans. These diseases are considered as neglected tropical diseases for which there are no current antiviral therapies or vaccines available. The replication process in alphaviruses depends on four nonstructural proteins, NSP1–NSP4, which are produced as a single polyprotein. Therefore, the Alphavirus-mediated diseases in humans remain challenging among the virologists worldwide. Thus researchers are trying to find out proficient approaches, including the discovery of novel chemotherapeutic agents for the possible management and treatment of infected patients. Attempts were also made to identify an active compound against alphaviruses from natural sources. The genomes of various alphaviruses have already been revealed, and the function of proteins may be predicted by homology modeling, with the known proteins of closely related viruses. With the help of this information of protein modeling and subsequent virtual screening approach, the research teams will be able to identify few potential leads. The drug discovery against various alphaviruses is still in its early stages. Moreover, consolidating the available information and making it available for the scientific community are urgent requirements to expedite the research of potential drug discovery. The current chapter describes the techniques available to prevent Alphavirus infection and to treat Alphavirus-associated malignancies. In addition, we also discuss the recent outcomes in the fields of synthetic and natural medicinal chemistry research that were solely aimed to fight against Alphavirus infection. Thus the present chapter may also help and expedite the drug discovery and development of inhibitors against nonstructural proteins of various alphaviruses.

QSAR molecular parameters calculated for US EPA ToxCast Phase 1 and 2 chemical compounds tested against embryonic zebrafish

Freshwater and marine environments are exposed to small concentrations of many different chemicals produced by industrial, agricultural, pharmaceutical, cosmetic, food, and household applications. Due to concerns regarding potential adverse events from these exposures, regulatory agencies around the world have established aquatic toxicology testing protocols that measure untoward responses in a wide variety of freshwater and marine organisms. Following a literature review of databases on the toxicity of chemicals to fish, the embryonic zebrafish ( Danio rerio) database compiled by the Tanguay Laboratory at Oregon State University was determined to be well suited for quantitative structure–activity relationship (QSAR) analysis. This database possesses a number of favorable characteristics including large size (1060 unique US Environmental Protection Agency ToxCast phase 1 and 2 chemical compounds), relatively recent data collected using state-of-the-art methods, 18 simultaneously measured toxicological end points, transparent embryos that develop externally thereby facilitating toxicological evaluation, and the vast majority of the genetic code is expressed and active during early life stages. The molecular parameters calculated for each of the chemicals in the database include the logarithm of the octanol–water partition coefficient, molar volume, and molar refractivity. For each chemical, the availability of these molecular parameter values can facilitate future QSAR studies using any of the 18 different toxicological end points measured as the biological activity of interest.

Quantitative Structure-Activity/Property/Toxicity Relationships through Conceptual Density Functional Theory-Based Reactivity Descriptors

Developing effective structure-activity/property/toxicity relationships (QSAR/QSPR/QSTR) is very helpful in predicting biological activity, property, and toxicity of a given set of molecules. Regular change in these properties with the structural alteration is the main reason to obtain QSAR/QSPR/QSTR models. The advancement in making different QSAR/QSPR/QSTR models to describe activity, property, and toxicity of various groups of molecules is reviewed in this chapter. The successful implementation of Conceptual Density Functional Theory (CDFT)-based global as well as local reactivity descriptors in modeling effective QSAR/QSPR/QSTR is highlighted.

Direct access to pyrimidines through organocatalytic inverse-electron-demand Diels–Alder reaction of ketones with 1,3,5-triazine

An organocatalytic inverse-electron-demand Diels–Alder reaction of ketones with 1,3,5-triazine through enamine catalysis has been developed.

Eurifoloids A-R, structurally diverse diterpenoids from Euphorbia neriifolia

Eighteen new diterpenoids, named eurifoloids A-R (1-18), including ingenane (1 and 2), abietane (3-7), isopimarane (8-12), and ent-atisane (13-18) types, along with four known analogues were isolated from Euphorbia neriifolia. Eurifoloid M (13) represents a rare class of ent-atisane-type norditerpenoid. Eurifoloids E (5) and F (6) exhibited significant anti-HIV activities, with EC50 values of 3.58 ± 0.31 (SI = 8.6) and 7.40 ± 0.94 μM (SI = 10.3), respectively.

Synthesis and antiviral evaluation of 2-amino-6-carbamoylpurine dioxolane nucleoside derivatives and their phosphoramidates prodrugs

The synthesis of 9-(β-d-1,3-dioxolan-4-yl)2,6-diaminopurine nucleoside phosphoramidate prodrugs as well as various 2-amino-6-carbamoylpurine dioxolane derivatives and their phosphoramidates prodrugs is reported. Their ability to block HIV and HBV replication along with their cytotoxicity toward HepG2, human lymphocyte, CEM and Vero cells was also assessed.

Design of novel leads: ligand based computational modeling studies on non-nucleoside reverse transcriptase inhibitors (NNRTIs) of HIV-1

Researchers are on the constant lookout for new antiviral agents for the treatment of AIDS. In the present work, ligand based modeling studies are performed on analogues of substituted phenyl-thio-thymines, which act as non-nucleoside reverse transcriptase inhibitors (NNRTIs) and novel leads are extracted. Using alignment-dependent descriptors, based on group center overlap (SALL, HDALL, HAALL and RALL), an alignment-independent descriptor (S log P), a topological descriptor (Balaban index (J)) and a 3D descriptor dipole moment (μ) and shape based descriptors (Kappa 2 index ((2)κ)), a correlation is derived with inhibitory activity. Linear and non-linear techniques have been used to achieve the goal. Support Vector Machine (SVM, R = 0.929, R(2) = 0.863) and Back Propagation Neural Network (BPNN, R = 0.928, R(2) = 0.861) methods yielded near similar results and outperformed Multiple Linear Regression (MLR, R = 0.915, R(2) = 0.837). The predictive ability of the models are cross-validated using a test dataset (SVM: R = 0.846, R(2) = 0.716, BPNN: R = 0.841, R(2) = 0.707 and MLR: R = 0.833, R(2) = 0.694). It is concluded that the hydrophobicity (S log P) and the polarity (μ) of a ligand and the presence of hydrogen donor (HDALL) moieties are the deciding factors in improving antiviral activity and pharmaco-therapeutic properties. Based on the above findings, a virtual dataset is created to extract probable leads with reasonable antiviral activity as well as better pharmacophoric properties.

Synthesis, characterization, crystal structure determination and biological screening of novel N-1 and C5 alkyl substituted scaffolds of pyrimidine

The novel N-1 and C5 alkyl substituted derivatives of pyrimidine were synthesized by using tetrabutyl ammonium bromide (TBAB) as phase transfer catalyst at 20-25 °C with excellent productivity (85-95%). The new compounds were evaluated for their antibacterial activities by screening them against Gram-positive and Gram-negative bacterial strain: Staphylococcus aureus ATCC 6538P, Salmonella abony NCTC 6017: Escherichia coli ATCC 8739, Staphylococcus epidermidis ATCC 12228. Among all compounds evaluated the molecule 2c and (2g-j) exhibit the most pronounced antibacterial activity against E. coli, S. aureus and S. abony with MICs value 25 μg/mL.

Enantioselective inhibition of reverse transcriptase (RT) of HIV-1 by non-racemic indole-based trifluoropropanoates developed by asymmetric catalysis using recyclable organocatalysts

Herein, we report the development of efficient inhibitors of reverse transcriptase (RT) of HIV-1 based on indole-alkyl trifluoropyruvate derivatives by a TZM-bl cell assay. The inhibitory activities of the two enantiomers and the corresponding racemic mixture have been compared. TZM-bl cells exhibited strong enantioselective discrimination for the (R)-configuration, among these indole derivatives, the most active compound R-12, with a 5-NO2 substituent, gave the best result when tested in the TZM-bl cells on HIV virus type HIV-1IIIB, with an EC50 value of 0.019 μM, CC50 value of 210.697 μM and SI (selectivity index, CC50/EC50) value of 11,089, respectively. The cell test showed that, in most cases, the R-enantiomer was superior to the Rac-mixture, which was better than the corresponding S-enantiomer. The results indicated that the R-enantiomer is the most favorable configuration as an efficient HIV-1 inhibitor. Molecular modeling studies suggested a structural basis for the enantioselectivity of RT towards this class of molecules.

Determining chemical reactivity driving biological activity from SMILES transformations: the bonding mechanism of anti-HIV pyrimidines

Assessing the molecular mechanism of a chemical-biological interaction and bonding stands as the ultimate goal of any modern quantitative structure-activity relationship (QSAR) study. To this end the present work employs the main chemical reactivity structural descriptors (electronegativity, chemical hardness, chemical power, electrophilicity) to unfold the variational QSAR though their min-max correspondence principles as applied to the Simplified Molecular Input Line Entry System (SMILES) transformation of selected uracil derivatives with anti-HIV potential with the aim of establishing the main stages whereby the given compounds may inhibit HIV infection. The bonding can be completely described by explicitly considering by means of basic indices and chemical reactivity principles two forms of SMILES structures of the pyrimidines, the Longest SMILES Molecular Chain (LoSMoC) and the Branching SMILES (BraS), respectively, as the effective forms involved in the anti-HIV activity mechanism and according to the present work, also necessary intermediates in molecular pathways targeting/docking biological sites of interest.