A quantitative structure-activity relationship study for structurally diverse HIV-1 protease inhibitors: contribution of conformational flexibility to inhibitory activity

In this study, we investigated by linear regression model the SAR data of the 15 HIV-1 protease inhibitors possessing structurally diverse scaffolds. First, a regression model was developed only using the enzyme-inhibitor interaction energy as a term of the model, but did not provide a good correlation with the inhibitory activity (R² = 0.580 and Q² = 0.500). Then, we focused on the conformational flexibility of the inhibitors which may represent the diversity of the inhibitors, and added two conformational parameters into the model, respectively: the number of rotatable bonds of ligands (ΔSrot) and the distortion energy of ligands (ΔElig). The regression model by adding ΔElig successfully improved the quality of the model (R² = 0.771 and Q² = 0.713) while the model with ΔSrot was unsuccessful. The prediction for a training inhibitor by the ΔElig model also showed good agreement with experimental activity. These results suggest that the conformational flexibility of HIV-1 protease inhibitors directly contributes to the enzyme inhibition.     

Discovery and structure-activity relationship of imidazolinylindole derivatives as kallikrein 7 inhibitors

A series of imidazolinylindole derivatives were discovered as novel kallikrein 7 (KLK7, stratum corneum chymotryptic enzyme) inhibitors. Structure-activity relationship (SAR) studies led to the identification of potent human KLK7 inhibitors. By further modification of the benzenesulfonyl moiety to overcome species differences in inhibitory activity, potent inhibitors against both human and mouse KLK7 were identified. Furthermore, the complex structure of 25 with mouse KLK7 could explain the SAR and the cause of the species differences in inhibitory activity.     

3D-QSAR studies on fluroquinolones derivatives as inhibitors for tuberculosis

A quantitative structure activity relationship (QSAR) study was performed on the fluroquinolones known to have anti-tuberculosis activity. The 3D-QSAR models were generated using stepwise variable selection of the four methods - multiple regression (MR), partial least square regression (PLSR), principal component regression (PCR) and artificial neural networks (kNN-MFA). The statistical result showed a significant correlation coefficient q(2) (90%) for MR model and an external test set of (pred_r(2)) -1.7535, though the external predictivity showed to improve using kNN-MFA method with pred_r(2) of -0.4644. Contour maps showed that steric effects dominantly determine the binding affinities. The QSAR models may lead to a better understanding of the structural requirements of anti-tuberculosis compounds and also help in the design of novel molecules.     

Estimation of biomass concentrations in fermentation processes for recombinant protein production

Online biomass estimation for bioprocess supervision and control purposes is addressed. As the biomass concentration cannot be measured online during the production to sufficient accuracy, indirect measurement techniques are required. Here we compare several possibilities for the concrete case of recombinant protein production with genetically modified Escherichia coli bacteria and perform a ranking. At normal process operation, the best estimates can be obtained with artificial neural networks (ANNs). When they cannot be employed, statistical correlation techniques can be used such as multivariate regression techniques. Simple model-based techniques, e.g., those based on the Luedeking/Piret-type are not as accurate as the ANN approach; however, they are very robust. Techniques based on principal component analysis can be used to recognize abnormal cultivation behavior. For the cases investigated, a complete ranking list of the methods is given in terms of the root-mean-square error of the estimates. All techniques examined are in line with the recommendations expressed in the process analytical technology (PAT)-initiative of the FDA.     

Development of a capillary electrophoresis method for analyzing adenosine deaminase and purine nucleoside phosphorylase and its application in inhibitor screening

A novel capillary electrophoresis (CE) method was developed for simultaneous analysis of adenosine deaminase (ADA) and purine nucleoside phosphorylase (PNP) in red blood cells (RBCs). The developed method considered and took advantage of the natural conversion from the ADA product, inosine to hypoxanthine. The transformation ratio was introduced for ADA and PNP analysis to obtain more reliable results. After optimizing the enzymatic incubation and electrophoresis separation conditions, the determined activities of ADA and PNP in 12 human RBCs were 0.237–0.833 U/ml and 9.013–10.453 U/ml packed cells, respectively. The analysis of ADA in mice RBCs indicated that there was an apparent activity difference between healthy and hepatoma mice. In addition, the proposed method was also successfully applied in the inhibitor screening from nine traditional Chinese medicines, and data showed that ADA activities were strongly inhibited by Rhizoma Chuanxiong and Angelica sinensis. The inhibition effect of Angelica sinensis on ADA is first reported here and could also inhibit PNP activity.     

Performance comparison among multivariate and data mining approaches to model presence/absence of Austropotamobius pallipes complex in Piedmont (North Western Italy)

Freshwater inhabitants in Piedmont (Italy) have been deeply disadvantaged by environmental changes caused by human disturbance. Hence there are engendered species that need human intervention of an entirely different kind – better management through the development of innovative practical tools. The most ecologically important of the river-dwelling invertebrates is a threatened species, the native white-clawed crayfish Austropotamobius pallipes. This is the species that we focused on in our effort to contribute to species conservation. Specifically we contrasted three different techniques of managing data relating to the presence/absence of this species: logistic regression, decision-tree models and artificial neural networks (ANN). Logistic regression and decision tree models (unpruned and pruned) performed worse than ANN. In this case, tree-pruning techniques did not make these models significantly more reliable, but did make the trees less complex and therefore did make the models clearer. ANN performed the best. Therefore we have judged them to be the most effective techniques.     

QSAR study of the enantiomeric excess in asymmetric catalytic reactions with topological indices and an artificial neural network

The relationships between the enantiomer excess of product in catalytic asymmetric reactions and the structures of the catalysts or reagents in several asymmetric reactions were studied using a backpropagation (BP) neural network with topological indices and their chiral expansions. The trained network can be used to screen new asymmetric catalysts, estimate catalytic effects, design reaction environments, and prove or improve the proposed reaction mechanism.     

Synthesis,structure-activity relationship and in vitro evaluation of coelenterazine and coelenteramine derivatives as inhibitors of lipid peroxidation

Coelenterazine (2-p -hydroxybenzyl-6-(3'-hydroxyphenyl)-8-benzyl-3,7-dihydroimidazolo[1,2-a]pyrazin-3-one, CLZn) and coelenteramine (2-amino-3-benzyl-5-(4'-hydroxyphenyl)-1,4-pyrazine CLM), first described as luciferin and etioluciferin, respectively, of bioluminescent systems in marine organisms are endowed with antioxidant properties. This study was aimed at understanding the structural basis of their chain-breaking properties and at designing new compounds with improved antioxidative properties. For this, a series of 2-amino-1,4-pyrazine derivatives and their related imidazolopyrazinones were synthesised and examined for their capacity to inhibit lipid peroxidation in linoleate micelles subjected to the peroxidizing action of AAPH. Structure-activity relationship studies indicated that the reduction of the peroxidation rate by CLM is mainly determined by the concomitant presence of 5-p-hydroxyphenyl and 2-amino groups in para position. The lipophilic character of substituents also affected this effect. All imidazolopyrazinones induced a lag-time before the onset of the peroxidation process. The hetero-bicyclic imidazolopyrazinone moiety appears as the main contributor to this activity while phenol groups play little role in it. On the other hand, phenol groups were required for the reduction of the peroxidation rate after the lag-phase. The introduction of a supplementary p-hydroxyphenyl substituent at C₈ position did not increase chain-breaking properties. The substitution of the C₅-p-hydroxyphenyl with a catechol moiety or the introduction of a second amino group on the pyrazine ring yielded the most active compounds, superior to imidazolopyrazinones and reference antioxidants like epigallocatechin gallate, vitamin E and trolox. The strong antioxidant properties of 2,6-diaminopyrazines are not dependent on the presence of hydroxyl groups indicating that their reaction mechanism differs from that of 2-amino-1,4-pyrazine derivatives.     

Synthesis, structure-activity relationship and in vitro biological evaluation of N-arylethyl isoquinoline derivatives as Coxsackievirus B3 inhibitors

Currently, there is no approved antiviral drug for the infection caused by enteroviruses. A series of novel N-arylethyl isoquinoline derivatives defined with substituents on the ring A and C were designed, synthesized and evaluated in vitro for their activities against Coxsackievirus B3 (CVB3). The primary structure-activity relationship revealed that substituents on the ring A were not beneficial for the activity. Among these analogs synthesized, compound 7f bearing a methylenedioxy at the R(4) and R(5) positions afforded an anti-CVB3 activity and a reasonable selectivity index (SI=26.8); furthermore, 7f exhibited a moderate activity against enterovirus 71 (EV71) with SI value of 9.0. Thus it has been selected as an anti-enteroviral lead compound for further investigation.     

Synthesis and structure-activity relationship for new series of 4-phenoxyquinoline derivatives as specific inhibitors of platelet-derived growth factor receptor tyrosine kinase

We discovered a new series of 4-phenoxyquinoline derivatives as potent and selective inhibitors of the platelet-derived growth factor receptor (PDGFr) tyrosine kinase. We researched the highly potent and selective inhibitors on the basis of both PDGFr and epidermal growth factor receptor (EGFr) inhibitory activity. First, we found a compound, Ki6783 (1), which inhibited PDGFr autophosphorylation at 0.13 microM, but it did not inhibit EGFr autophosphorylation at 100 microM. After extensive explorations, we found the two desired compounds, Ki6896 (2) and Ki6945 (3), which are substituted by benzoyl and benzamide at the 4-position of the phenoxy group on 4-phenoxyquinoline, respectively. These inhibitory activities were 0.31 and 0.050 microM, respectively, but neither of them inhibited EGFr autophosphorylation at 100 microM. We further investigated the profile of both compounds toward various tyrosine and serine/threonine kinases. The three compounds specifically inhibited PDGFr rather than the other kinases.     

Design,synthesis and structure-activity relationship study of novel naphthoindolizine and indolizinoquinoline-5,12-dione derivatives as IDO1 inhibitors

Indoleamine 2,3-dioxygenase 1 (IDO1) is regarded as a promising target for cancer immunotherapy. Many naphthoquinone derivatives have been reported as IDO1 inhibitors so far. Herein, two series of naphthoquinone derivatives, naphthoindolizine and indolizinoquinoline-5,12-dione derivatives, were synthesized and evaluated for their IDO1 inhibitory activity. Most of the target compounds showed significant inhibition potency and high selectivity for IDO1 over tryptophan 2,3-dioxygenase (TDO). The structure-activity relationship was also summarized. The most potent compounds 5c (IC₅₀ 23?nM, IDO1 enzyme), and 5b′ (IC₅₀ 372?nM, HeLa cell) were identified as promising lead compounds.     

Structure-based optimization of cyclopropyl urea derivatives as potent soluble epoxide hydrolase inhibitors for potential decrease of renal injury without hypotensive action

Epoxyeicosatrienoic acids (EETs) are known to have beneficial pharmacological effects on various cardiovascular events. However, EETs are biologically metabolized by soluble epoxide hydrolase (sEH) to less active metabolites. In our search for potent sEH inhibitors, we optimized a series of cyclopropyl urea derivatives and identified compound 38 as a potent sEH inhibitor with minimal CYP inhibition and good oral absorption in rats. Administration of 38 to DOCA-salt rats suppressed urinary albumin and MCP-1 excretion without affecting systolic blood pressure.     

Parallel synthesis of 5-cyano-6-aryl-2-thiouracil derivatives as inhibitors for hepatitis C viral NS5B RNA-dependent RNA polymerase

From random screening of our compound libraries, we identified a hit compound with an IC50 of 27 microM against hepatitis C viral NS5B RNA-dependent RNA polymerase. By using a parallel synthetic strategy, a series of its derivatives were synthesized. From their anti-HCV activity screening, compounds with single digital 3.8 micromolar activity were obtained.     

Synthesis and structure-activity relationship of 4-alkoxy-thieno[2,3-b]pyridine derivatives as potent alkaline phosphatase enhancers for osteoporosis treatment

The synthesis and structure-activity relationships of a novel series of 3-aminothieno[2,3-b]pyridine-2-carboxamides were explored. Our efforts were focused on modifying the C-4 substituent of the thienopyridine ring to develop orally available bone anabolic agents. 4-Alkoxy derivatives were found to be novel ALPase enhancers without inhibitory effect on P450 activity. Among these derivatives, compound 6k was orally administered to ovariectomized rats, and it was found to significantly improve areal bone mineral density at a dose of 30 mg/kg/day.     

A quantitative structure-activity relationship study of novel, potent, orally active, selective VEGFR-2 and PDGFRalpha tyrosine kinase inhibitors: derivatives of N-phenyl-N'-{4-(4-quinolyloxy)phenyl}urea as antitumor agents

The tyrosine kinase inhibitory action of the derivatives of N-Phenyl-N'-{4-(4-quinolyloxy)phenyl}urea is quantitatively analyzed using multiple regression analysis. The analysis has helped to ascertain the role of different substituents in explaining the observed inhibitory actions of these compounds for two receptors, namely vascular endothelial growth factor receptor 2 (VEGFR-2) and platelet-derived growth factor receptor alpha (PDGFRalpha). From a derived significant correlation equation for inhibition of VEGFR-2, it was concluded that a less hydrophobic molecule with ortho-substituent(s), exerting less steric hindrance and para-substituent devoid of hydrogen-bond acceptor property augment the inhibition action. Besides, a 3-substituent transmitting a higher negative field effect is advantageous to improve the pIC(50) value of a compound. The correlation equation, derived for the inhibition of PDGFRalpha, has revealed that a less hydrophobic molecule, having a 3-substituent which transmits a more negative resonance effect, is helpful in raising its activity. Likewise, in the middle phenyl ring, absence of a fluoro substituent augments the inhibitory activity. Based on derived QSAR equations pertaining to VEGF-2 and PDGFalpha receptors, the drawn guidelines for selection of substituents, may be used to synthesize potent compounds in future.