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1.
J Dairy Sci ; 102(12): 10711-10723, 2019 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-31548055

RESUMO

The objective of this work was to obtain casein hydrolysates with aspartic proteinases present in extracts from the artichoke flower (Cynara scolymus L.) and evaluate their antioxidant, antimicrobial, and angiotensin-I converting enzyme (ACE) inhibitory activity in vitro. The casein hydrolysates produced by the action of C. scolymus had elevated antihypertensive and antioxidant activity due to their high hydrophobic peptide content (93.84, 96.58, and 90.54% at 2, 4, and 16 h of hydrolysis, respectively). Hydrolysis time and molecular weight (<3 kDa) had a significant influence on the hypertensive and antioxidant activity of the hydrolysates, which were greater at hydrolysis times of 4 and 16 h and corresponding to the <3 kDa fractions. The <3 kDa fraction of the 16 h hydrolysate had an ACE inhibitory activity with a half-maximal inhibitory concentration (IC50) of 71.77 µg peptides per mL; DPPH and ABTS•+ radical scavenging activities of 6.27 µM and 6.21 mM Trolox equivalents per mg of peptides, respectively; and iron (II) chelation activity with an IC50 of 221.49 µg of peptides per mL. Antimicrobial activity against Enterococcus faecalis was also observed in the hydrolysates. From the peptide sequences identified in the hydrolysates, we detected 22 peptides (from the BIOPEP database) that were already in their bioactive form (AMKPWIQPK, AMKPWIQPKTKVIPYVRYL, ARHPHPHLSFM, DAQSAPLRVY, FFVAPFPEVFGK, GPVRGPFPII, KVLPVPQK, LLYQEPVLGPVRGPFPIIV, MAIPPKKNQDK, NLHLPLPLL, PAAVRSPAQILQ, RELEELNVPGEIVESLSSSEESITR, RPKHPIKHQ, RPKHPIKHQGLPQEVLNENLLRF, SDIPNPIGSENSEK, TPVVVPPFLQP, VENLHLPLPLL, VKEAMAPK, VLNENLLR, VYPFPGPIH, VYQHQKAMKPWIQPKTKVIPYVRY, VYQHQKAMKPWIQPKTKVIPYVRYL) and are reported to display antioxidant, antimicrobial, and ACE inhibitory activity. We also identified 12,116, 14,513, and 25,169 peptide sequences in the hydrolysates at 2, 4, and 16 h, respectively, that were contained in the primary sequence, and these are reported to display ACE inhibitory, antioxidant, dipeptidyl peptidase IV inhibition, antithrombotic, opioid, immunomodulation, antiamnesic, anticancer, chelating, and hemolytic bioactivity.


Assuntos
Inibidores da Enzima Conversora de Angiotensina/farmacologia , Anti-Infecciosos/farmacologia , Antioxidantes/farmacologia , Caseínas/farmacologia , Cynara scolymus/enzimologia , Peptídeo Hidrolases/metabolismo , Hidrolisados de Proteína/farmacologia , Inibidores da Enzima Conversora de Angiotensina/química , Inibidores da Enzima Conversora de Angiotensina/isolamento & purificação , Animais , Anti-Infecciosos/isolamento & purificação , Anti-Hipertensivos/isolamento & purificação , Anti-Hipertensivos/farmacologia , Antioxidantes/química , Caseínas/isolamento & purificação , Bovinos , Peso Molecular , Hidrolisados de Proteína/química , Hidrolisados de Proteína/isolamento & purificação
2.
SAR QSAR Environ Res ; 25(1): 17-33, 2014.
Artigo em Inglês | MEDLINE | ID: mdl-24283490

RESUMO

Genotoxicity is a key toxicity endpoint for current regulatory requirements regarding new and existing chemicals. However, genotoxicity testing is time-consuming and costly, and involves the use of laboratory animals. This has motivated the development of computational approaches, designed to predict genotoxicity without the need to conduct laboratory tests. Currently, many existing computational methods, like quantitative structure-activity relationship (QSAR) models, provide limited information about the possible mechanisms involved in mutagenicity or predictions based on structural alerts (SAs) do not take statistical models into account. This paper describes an attempt to address this problem by using the TOPological Substructural MOlecular Design (TOPS-MODE) approach to develop and validate improved QSAR models for predicting the mutagenicity of a range of halogenated derivatives. Our most predictive model has an accuracy of 94.12%, exhibits excellent cross-validation and external set statistics. A reasonable interpretation of the model in term of SAs was achieved by means of bond contributions to activity. The results obtained led to the following conclusions: primary halogenated derivatives are more mutagenic than secondary ones; and substitution of chlorine by bromine increases mutagenicity while polyhalogenation decreases activity. The paper demonstrates the potential of the TOPS-MODE approach in developing QSAR models for identifying structural alerts for mutagenicity, combining high predictivity with relevant mechanistic interpretation.


Assuntos
Modelos Químicos , Mutagênicos/química , Relação Quantitativa Estrutura-Atividade , Alcanos/química , Alcenos/química , Animais , Células Cultivadas , Halogenação , Mamíferos , Testes de Mutagenicidade
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