Detalhes da Produção

TipoPatente
GrupoProdução Técnica
DescriçãoLU, T. K. ; FUENTE-NUNEZ, C. L. ; William Farias Porto ; FRANCO, O. L., COMPUTATIONAL PLATFORM FOR IN SILICO COMBINATORIAL SEQUENCE SPACE EXPLORATION AND ARTIFICIAL EVOLUTION OF PEPTIDES. 2018, Estados Unidos.
AutorOctavio Luiz Franco
Ano2018

Informações Complementares

Ano de Desenvolvimento2018
CategoriaProduto
Codigo do Registro ou PatenteM0656.70434US00
Data Pedido de Deposito20/03/2018
FinalidadeAntimicrobiano
Informações AdicionaisAntimicrobial peptides (AMPs) represent promising alternatives to conventional 5 antibiotics, yet the translation of AMPs into the clinic is hindered by high costs of design and synthesis. We describe a computational platform for streamlining AMP design, based on a genetic algorithm that exploits a sequence space different from that of previously described AMPs. We ranked ?artificially evolved? peptides derived from Pg-AMP1, a glycine-rich peptide isolated from guava seeds, in terms of fitness function, thereby reducing cost of 10 design. This approach yielded guavanins, synthetic peptides having an unusually high proportion of arginines, and tyrosines as hydrophobic counterparts. The artificially generated peptide guavanin 2, considered an antimicrobial prototype for its potency against Pseudomonas aeruginosa, was unstructured in water and underwent a coil-to-helix transition in hydrophobic environments. NMR analysis corroborated this conformation in dodecylphosphocholine micelles, revealing an α-helical structure between residues Gln2 15 and Arg16. Guavanin 2 disrupted bacterial membranes and was bactericidal at low micromolar concentrations. In a murine abscess model, guavanin 2 reduced bacterial load significantly. This evolutionary computational approach is effective for designing peptide antibiotics
Informações Adicionais(en)Antimicrobial peptides (AMPs) represent promising alternatives to conventional 5 antibiotics, yet the translation of AMPs into the clinic is hindered by high costs of design and synthesis. We describe a computational platform for streamlining AMP design, based on a genetic algorithm that exploits a sequence space different from that of previously described AMPs. We ranked ?artificially evolved? peptides derived from Pg-AMP1, a glycine-rich peptide isolated from guava seeds, in terms of fitness function, thereby reducing cost of 10 design. This approach yielded guavanins, synthetic peptides having an unusually high proportion of arginines, and tyrosines as hydrophobic counterparts. The artificially generated peptide guavanin 2, considered an antimicrobial prototype for its potency against Pseudomonas aeruginosa, was unstructured in water and underwent a coil-to-helix transition in hydrophobic environments. NMR analysis corroborated this conformation in dodecylphosphocholine micelles, revealing an α-helical structure between residues Gln2 15 and Arg16. Guavanin 2 disrupted bacterial membranes and was bactericidal at low micromolar concentrations. In a murine abscess model, guavanin 2 reduced bacterial load significantly. This evolutionary computational approach is effective for designing peptide antibiotics
Instituição de Deposito ou RegistroUnited States Patent and Trademark Office
Instituição FinanciadoraMIT; UCB
Meio de DivulgaçãoNAO_INFORMADO
Número Deposito PCT62641513
PaísEstados Unidos
Potencial de InovaçãoSIM
RelevânciaNAO
Tipo de PatentePRIVILEGIO_DE_INOVACAO_PI
TítuloCOMPUTATIONAL PLATFORM FOR IN SILICO COMBINATORIAL SEQUENCE SPACE EXPLORATION AND ARTIFICIAL EVOLUTION OF PEPTIDES
Título da PatenteCOMPUTATIONAL PLATFORM FOR IN SILICO COMBINATORIAL SEQUENCE SPACE EXPLORATION AND ARTIFICIAL EVOLUTION OF PEPTIDES
Título(en)COMPUTATIONAL PLATFORM FOR IN SILICO COMBINATORIAL SEQUENCE SPACE EXPLORATION AND ARTIFICIAL EVOLUTION OF PEPTIDES
Tim K Lu;Universidade Católica de Brasília;Massachusetts Institute of Technology
Depósito
20032018
SIM