Pharmacophore mapping of a series of pyrrolopyrimidines,indolopyrimidines and their congeners as multidrug-resistance-associated protein (MRP1) modulators

Pharmacophore mapping studies were undertaken for a series of molecules belonging to pyrrolopyrimidines, indolopyrimidines and their congeners as multidrug resistance-associated protein (MRP1) modulators. A five-point pharmacophore with two hydrogen bond acceptors (A), one lipophilic/hydrophobic group (H), one positive ionic feature (P) and one aromatic ring (R) as pharmacophoric features was developed. The pharmacophore hypothesis yielded a statistically significant 3D-QSAR model, with a correlation coefficient of r ² = 0.799 for training set molecules. The model generated showed excellent predictive power, with a correlation coefficient Q ² = 0.679 for an external test set of 20 molecules. The pharmacophore was further validated using four structurally diverse compounds with MRP1 modulatory activity. These compounds mapped well onto four of the five features of the pharmacophore. The pharmacophore proposed here was then utilised for the successful retrieval of active molecules with diverse chemotypes from database search. The geometry and features of pharmacophore are expected to be useful for the design of selective MRP1 inhibitors. Figure Alignment of multidrug resistance-associated protein (MRP1) inhibitors with the developed pharmacophore. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Three-dimensional quantitative structure-activity relationship (3D-QSAR) studies of various benzodiazepine analogues of γ-secretase inhibitors

A 3D QSAR analysis has been performed on a series of 67 benzodiazepine analogues reported as γ-secretase inhibitors using molecular field analysis (MFA), with G/PLS to predict steric and electrostatic molecular field interaction for the activity. The MFA study was carried out using a training set of 54 compounds. The predictive ability of model developed was assessed using a test set of 13 compounds ( as high as 0.729). The analyzed MFA model has demonstrated a good fit, having r² value of 0.858 and cross validated coefficient, value as 0.790. The analysis of the best MFA model provided insight into possible modification of the molecules for better activity.   Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

An ab initio quantum mechanical drug designing procedure: application to the design of balanced dual ACE/NEP inhibitors

This article describes in a sequential fashion how ab initio quantum mechanical methods can be applied to study the pharmacophoric features of drugs. It also describes how accurate drug–receptor interaction calculations can guide the careful design of balanced dual inhibitors, which form an important class of second generation drugs. As an example, the authors have chosen balanced inhibitors of angiotensin converting enzyme/neutral endopeptidase (ACE/NEP) as modern antihypertensive drugs. A unified, accurate, in silico design approach is presented, encompassing all steps from pharmacophore derivation to complete understanding of mechanistic aspects leading to drug design.      

Exploring the binding features of rimonabant analogues and acyclic CB<Subscript>1</Subscript> antagonists: docking studies and QSAR analysis

In order to elucidate the structural requirements for human CB₁ receptor antagonism, 78 antagonists belonging to five different chemical classes were selected from the literature and docked into the receptor binding site, built by homology modeling techniques. To further explore the structure-activity relationships within the considered chemical classes, a pharmacophore model and a QSAR analysis were developed. In a first step five alignments, one for each group of compounds were generated. All of them were then submitted to a MOE pharmacophore search in order to obtain a final pharmacophore model representative of the whole dataset which was used to elaborate the following 3D-QSAR analysis, by means of the CoMFA methodology. The results of these investigations are expected to be useful in the process of design and development of new potent CB₁ antagonists. Figure Compounds 1-78 are aligned into the putative CB1 receptor binding site. The three key features shared by all of them are reported in coloured spheres. The hydrophobic/aromatic ones are depicted in purple while the acceptor functions are coloured in blue.     

ParaFrag—an approach for surface-based similarity comparison of molecular fragments

A frequent task in computer-aided drug design is to identify novel chemotypes similar in activity but structurally different to a given reference structure. Here we report the development of a novel method for atom-independent similarity comparison of molecular fragments (substructures of drug-like molecules). The fragments are characterized by their local surface properties coded in the form of 3D pharmacophores. As surface properties, we used the electrostatic potential (MEP), the local ionization energy (IE_L), local electron affinity (EA_L) and local polarizability (POL) calculated on isodensity surfaces. A molecular fragment can then be represented by a minimal set of extremes for each surface property. We defined a tolerance sphere for each of these extremes, thus allowing us to assess the similarity of fragments in an analogous manner to classical pharmacophore comparison. As a first application of this method we focused on comparing rigid fragments suitable for scaffold hopping. A retrospective analysis of successful scaffold hopping reported for Factor Xa inhibitors [Wood MR et al (2006) J Med Chem 49:1231] showed that our method performs well where atom-based similarity metrics fail. Figure Encoding surface hotspots as a ParaFrag pharmacophore     

Conformational stability and three-dimensional model of the δ-opioid pharmacophore for the extended antiparallel dimer structure of Met-enkephalin in water

The conformational stability of the extended antiparallel dimer structure of Met-enkephalin in water was analyzed by examining the hydration structure of enkephalin using molecular dynamics simulations. The result shows that, despite of the hydrophicility of the terminal atoms in the pentapeptide, the main contributor for the stability of the dimer in water is the four intermolecular hydrogen bonds between the Gly² and Phe⁴ groups. The three-dimensional model of the δ-opioid pharmacophore for this dimer structure was also established. Such a model was demonstrated to match the δ-opioid pharmacophore query derived from the non-peptides SIOM, TAN-67, and OMI perfectly. This result thus strongly supports the assumption that the dimer structure of Met-enkephalin is a possible δ-receptor binding conformation. Figure Schematic model of the extended antiparallel dimer structure of Met-enkephalin     

Design of Benzene-1,2-diamines as selective inducible nitric oxide synthase inhibitors: a combined de novo design and docking analysis

Selective inhibition of inducible nitric oxide synthases (iNOS) has been a challenging problem for researchers pursuing work in finding methods to treat inflammatory disorders, shock, etc. Though many inhibitors have been studied to date, all are associated with selectivity or potency problems. Additionally, most of the reported compounds have several similarities and fewer number of novel structures are being tried. There is an increasing need to design novel molecules for this target. In this work, de novo design using LUDI, combined with docking analysis using FlexX has been employed in an attempt to identify novel scaffolds. Benzene-1,2-diamines were identified which could mimic the interactions of the substrate analogs and other inhibitors. Comparative docking scores in each of the isoforms of nitric oxide synthase were employed to recognize hits for iNOS selectivity. Figure Figure shows the docked poses of the ligand M226 along with that of the reference GW274150. (FlexX analysis)     

Molecular models of protein kinase 6 from Plasmodium falciparum

Cyclin-dependent kinases (CDKs) have been identified as potential targets for development of drugs, mainly against cancer. These studies generated a vast library of chemical inhibitors of CDKs, and some of these molecules can also inhibit kinases identified in the Plasmodium falciparum genome. Here we describe structural models for Protein Kinase 6 from P. falciparum (PfPK6) complexed with Roscovitine and Olomoucine. These models show clear structural evidence for differences observed in the inhibition, and may help designing inhibitors for PfPK6 generating new potential drugs against malaria. Figure Ribbon diagram of PfPK6 complexed with a roscovitine and b olomoucine     

Molecular docking guided 3D-QSAR CoMFA analysis of N-4-Pyrimidinyl-1H-indazol-4-amine inhibitors of leukocyte-specific protein tyrosine kinase

Inhibition of leukocyte-specific protein tyrosine kinase (Lck) activity offers one of the approaches for the treatment of T-cell mediated inflammatory disorders including rheumatoid arthritis, transplant rejection and inflammatory bowel disease. To explore the relationship between the structures of the N-4 Pyrimidinyl-1H-indazol-4-amines and their Lck inhibition, 3D-QSAR study using CoMFA analysis have been performed on a dataset of 42 molecules. The bioactive conformation of the template molecule, selected as the most potent molecule 23 from the series was obtained by performing molecular docking at the ATP binding site of Lck, which is then used to build the rest of the molecules in the series. The constructed CoMFA model is robust with of 0.603 and conventional r² of 0.983. The predictive power of the developed model was obtained using a test set of 10 molecules, giving predictive correlation coefficient of 0.921. CoMFA contour analysis was performed to obtain useful information about the structural requirements for the Lck inhibitors which could be utilized in its future design. Figure CoMFA steric contour map. Sterically favored areas (contribution level 80%) are represented by green polyhedra. Sterically disfavored areas (contribution level 20%) are represented by yellow polyhedra. The active molecule 23 shown in capped sticks. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Cancer-relevant biochemical targets of cytotoxic Lonchocarpus flavonoids: A molecular docking analysis

A molecular docking investigation has been carried out on cytotoxic prenylated flavonoids from Lonchocarpus haberi with cancer-relevant chemotherapeutic targets known to be inhibited by flavonoids. Two molecular docking programs, Molegro and ArgusDock, were used to compare the binding energies of Lonchocarpus flavonoids with other flavonoids, inhibitors, or known ligands, to aromatase (CYP 19), fatty acid synthase (FAS), xanthine oxidase (XO), cyclooxygenases (COX-1 and COX-2), lipoxygenase (LOX-3), ornithine decarboxylase (ODC), protein tyrosine kinase (PTK), phosphoinositide 3-kinase (PI3K), protein kinase C (PKC), topoisomerase II (ATP binding site), ATP binding cassette (ABC) transporter, and phospholipase A₂ (PLA). The Lonchocarpus flavonoids examined in this study exhibited docking energies comparable to or stronger than other flavonoids that had been previously shown to be effective inhibitors of these enzymes. Furthermore, prenylated flavonoids, such as the Lonchocarpus flavonoids and xanthohumol, generally showed greater binding energies than the non-prenylated flavonoids. We conclude, therefore, that the Lonchocarpus flavonoids possibly owe their cytotoxic activity by inhibition of one or more of these enzymes.      

A theoretical investigation of cytotoxic activity of celastroid triterpenoids

Quantum chemical calculations at the B3LYP/6-31G* level of theory have been carried out on 20 celastroid triterpenoids to obtain a set of molecular electronic properties and to correlate these with cytotoxic activities. The cytotoxic activities of these compounds can be roughly correlated with electronic effects related to nucleophilic addition to C(6) of the compounds: The energies of the frontier molecular orbitals (E _HOMO and E _LUMO), the HOMO-LUMO energy gap, the dipole moment, the charge on C(6), and the electrophilicity on C(6). Figure LUMO of Pristimerin.     

DFT tests for group 8 transition metal carbonyl complexes

The applicability of several popular density functionals in predicting the geometrical parameters and energetics of transition metal carbonyl complexes of iron, ruthenium and osmium has been studied. The methods tested include pure GGA functionals (BLYP, BP86, OPBE, HCTH, PBE, VSXC) and hybrid GGA functionals (B3PW91, B3LYP, PBE1PBE, MPW1K, B97-2, B1B95, PBE1KCIS). The effect of changing the metal basis set from Huzinaga’s all-electron basis to SDD scECP basis was also studied. The results show, that hybrid functionals are needed in order to describe the back-bonding ability of the carbonyl ligands as well as to deal with metal-metal bonds. The best general performance, when also the computational cost was considered, was obtained with hybrid functionals B3PW91 and PBE1PBE, which therefore provide an efficient tool for solving problems involving large or medium sized transition metal carbonyl compounds. Figure Optimized structure for one of the test molecules, the Ru₃(CO)₁₂ cluster, showing the staggered conformation of the carbonyl ligands     

CHIH-DFT determination of the molecular structure and IR and UV spectra of solanidine

Solanidine is the steroidal aglycon of some potato glycoalkaloids and a very important precursor for the synthesis of hormones and some pharmacologically active compounds. In this work, we make use of a new chemistry model within Density Functional Theory, called CHIH-DFT, to calculate the molecular structure of solanidine, as well to predict its infrared and ultraviolet spectra. The calculated values are compared with the experimental data available for this molecule as a means of validation of our proposed chemistry model. Figure Molecular structure of solanidine calculated with the CHIH(small) model chemistry     

Pharmacophore development and screening for discovery of potential inhibitors of ADAMTS-4 for osteoarthritis therapy

In the development of osteoarthritis, aggrecan degrades prior to cartilage destruction. Aggrecanase-1 (ADAMTS-4) is considered to be the major enzyme responsible for cleaving the Glu373–Ala374 bond in the interglobular domain of aggrecan in humans. Therefore, inhibitors of ADAMTS-4 have therapeutic potential in the treatment of osteoarthritis. In the present work, we developed a chemical feature based pharmacophore model of ADAMTS-4 inhibitors using the HipHop module within the Catalyst program package in order to elucidate the structure–activity relationship and to carry out in-silico screening. The Maybridge database was screened using Hypo1 as a 3D query, and the best-fit hits that followed Lipinski’s rule of five were subsequently screened to select the compounds. The hit compounds were then docked into the active site of ADAMTS-4, and interactions were visualized to determine the potential lead molecules. After subjecting all of the hits to various screening and filtering processes, 13 compounds were finally evaluated for their in vitro inhibitory activities. This study resulted in the identification of two lead compounds with potent inhibitory effects on ADAMTS-4 activity, with IC₅₀ values of 0.042 μM and 0.028 μM, respectively. These results provide insight into the pharmacophoric requirements for the development of more potent ADAMTS-4 inhibitors.

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Graphical Abstract The aggrecan-degrading metalloprotease ADAMTS-4 has been identified as a novel therapeutic target for osteoarthritis. In this work, we used HipHop-based pharmacophore modeling and virtual screening of the Maybridge database to identify novel ADAMTS-4 inhibitors. These novel lead compounds act as potent and specific inhibitors for the ADAMTS-4 enzyme and could have therapeutic potential in the treatment of OA

     

Molecular docking,molecular modeling,and molecular dynamics studies of azaisoflavone as dual COX-2 inhibitors and TP receptor antagonists

Designed multi-target ligand (DML) is an emerging strategy for the development of new drugs and involves the engagement of multiple targets with the same moiety. In the context of NSAIDs it has been suggested that targeting the thromboxane prostanoid (TP) receptor along with cyclooxygenase-2 (COX-2) may help to overcome cardiovascular (CVS) complications associated with COXIBs. In the present work, azaisoflavones were studied for their COX-2 and TP receptor binding activities using structure based drug design (SBDD) techniques. Flavonoids were selected as a starting point based on their known COX-2 inhibitory and TP receptor antagonist activity. Iterative design and docking studies resulted in the evolution of a new class scaffold replacing the benzopyran-4-one ring of flavonoids with quinolin-4-one. The docking and binding parameters of these new compounds are found to be promising in comparison to those of selective COX-2 inhibitors, such as SC-558 and celecoxib. Owing to the lack of structural information, a model for the TP receptor was generated using a threading base alignment method with loop optimization performed using an ab initio method. The model generated was validated against known antagonists for TP receptor using docking/MMGBSA. Finally, the molecules that were designed for selective COX-2 inhibition were docked into the active site of the TP receptor. Iterative structural modifications and docking on these molecules generated a series which displays optimum docking scores and binding interaction for both targets. Molecular dynamics studies on a known TP receptor antagonist and a designed molecule show that both molecules remain in contact with protein throughout the simulation and interact in similar binding modes.

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Graphical abstract ?

     

Identification of Novel HIV 1- Protease Inhibitors: Application of Ligand and Structure Based Pharmacophore Mapping and Virtual Screening

A combined ligand and structure-based drug design approach provides a synergistic advantage over either methods performed individually. Present work bestows a good assembly of ligand and structure-based pharmacophore generation concept. Ligand-oriented study was accomplished by employing the HypoGen module of Catalyst in which we have translated the experimental findings into 3-D pharmacophore models by identifying key features (four point pharmacophore) necessary for interaction of the inhibitors with the active site of HIV-1 protease enzyme using a training set of 33 compounds belonging to the cyclic cyanoguanidines and cyclic urea derivatives. The most predictive pharmacophore model (hypothesis 1), consisting of four features, namely, two hydrogen bond acceptors and two hydrophobic, showed a correlation (r) of 0.90 and a root mean square of 0.71 and cost difference of 56.59 bits between null cost and fixed cost. The model was validated using CatScramble technique, internal and external test set prediction. In the second phase of our study, a structure-based five feature pharmacophore hypothesis was generated which signifies the importance of hydrogen bond donor, hydrogen bond acceptors and hydrophobic interaction between the HIV-1 protease enzyme and its inhibitors. This work has taken a significant step towards the full integration of ligand and structure-based drug design methodologies as pharmacophoric features retrieved from structure-based strategy complemented the features from ligand-based study hence proving the accuracy of the developed models. The ligand-based pharmacophore model was used in virtual screening of Maybridge and NCI compound database resulting in the identification of four structurally diverse druggable compounds with nM activities.     

3D-QSAR studies of Dipeptidyl peptidase IV inhibitors using a docking based alignment

Dipeptidyl peptidase IV (DPP-IV) deactivates the incretin hormones GLP-1 and GIP by cleaving the penultimate proline or alanine from the N-terminal (P1-position) of the peptide. Inhibition of this enzyme will prevent the degradation of the incretin hormones and maintain glucose homeostasis; this makes it an attractive target for the development of drugs for diabetes. This paper reports 3D-QSAR analysis of several DPP-IV inhibitors, which were aligned by the receptor-based technique. The conformation of the molecules in the active site was obtained through docking methods. The QSAR models were generated on two training sets composed of 74 and 25 molecules which included phenylalanine, thiazolidine, and fluorinated pyrrolidine analogs. The 3D-QSAR models are robust with statistically significant r², q², and values. The CoMFA and CoMSIA models were used to design some new inhibitors with several fold higher binding affinity. Figure The CoMFA contours around molecule D1T155 (a) steric contours - favored (green); disfavored (yellow) (b) electrostatic contours - electropositive (blue); electronegative (red)     

Aromaticity and electronic properties of Heterosuperbenzene (Heterohexabenzocoronene)

A global electrophilicity parameter and the aromaticity of some heterocyclic polyaromatic hydrocarbons were evaluated on the basis of DFT calculations. The substitution of carbon atoms by nitrogen atoms dramatically changes the global electrophilicity of the molecules, with the fully substituted molecule being the most electrophilic with a reactivity very close to that of fullerene. Figure Fully substituted heterohexabenzocoronene Electronic supplementary material The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Alpha particle chemistry. On the formation of stable complexes between He2+ and other simple species: implications for atmospheric and interstellar chemistry

The possibility that stable complexes may be formed between alpha particles (He²⁺) and small molecules is investigated using QCISD quantum mechanical calculations. Implications for their presence in the terrestrial atmosphere and/or in interstellar space are discussed. Figure Optimized structure of a stable H₂OHe²⁺ complex     

A theoretical study of some new analogues of the anti-cancer drug camptothecin

The enzyme topoisomerase I (topo I), which is essential for cell replication, transiently causes a DNA single strand break and makes a complex with it. The anti-cancer agent camptothecin (CPT) binds to the topo I–DNA complex and stabilizes it, preventing resealing of the broken DNA strand and cell growth. Considering the structural factors of CPT that are believed to be involved in stabilizing the topo I–DNA complex via hydrogen bonding and stacking interactions, designs of two new analogues of CPT (topo I inhibitors) have been suggested. The molecular geometries of CPT, two of its analogues and certain other related molecules included in the study were fully optimized in both gas phase and aqueous media at the B3LYP/6-311++G(d,p) level of density functional theory. Solvation effects of aqueous media were treated using the polarizable continuum model (PCM). Net CHelpG charges and surface molecular electrostatic potentials (MEP) near the atomic sites of the molecules were studied. Structural analogy and surface MEP values suggests that the two new CPT analogues studied here would be potent topoisomerase I inhibitors. Figure Optimized structures of CPT and two of its new analogues, 10 and 11.