Characterization of Selective Antibacterial Peptides by Polarity Index
In the recent decades, antibacterial peptides have occupied a strategic position for pharmaceutical drug applications and became subject of intense research activities since they are used to strengthen the immune system of all living organisms by protecting them from pathogenic bacteria. This work p...
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| Published in | International journal of peptides Vol. 2012; no. 2012; pp. 1 - 11 |
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| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Cairo, Egypt
Hindawi Puplishing Corporation
2012
Hindawi Publishing Corporation Hindawi Limited |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1687-9767 1687-9775 1687-9775 |
| DOI | 10.1155/2012/585027 |
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| Abstract | In the recent decades, antibacterial peptides have occupied a strategic position for pharmaceutical drug applications and became subject of intense research activities since they are used to strengthen the immune system of all living organisms by protecting them from pathogenic bacteria. This work proposes a simple and easy statistical/computational method through a peptide polarity index measure by which an antibacterial peptide subgroup can be efficiently identified, that is, characterized by a high toxicity to bacterial membranes but presents a low toxicity to mammal cells. These peptides also have the feature not to adopt to an alpha-helicoidal structure in aqueous solution. The double-blind test carried out to the whole Antimicrobial Peptide Database (November 2011) showed an accuracy of 90% applying the polarity index method for the identification of such antibacterial peptide groups.Erratum to “Characterization of Selective Antibacterial Peptides by Polarity Index”dx.doi.org/10.1155/2012/613053 |
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| AbstractList | In the recent decades, antibacterial peptides have occupied a strategic position for pharmaceutical drug applications and became subject of intense research activities since they are used to strengthen the immune system of all living organisms by protecting them from pathogenic bacteria. This work proposes a simple and easy statistical/computational method through a peptide polarity index measure by which an antibacterial peptide subgroup can be efficiently identified, that is, characterized by a high toxicity to bacterial membranes but presents a low toxicity to mammal cells. These peptides also have the feature not to adopt to an alpha-helicoidal structure in aqueous solution. The double-blind test carried out to the whole Antimicrobial Peptide Database (November 2011) showed an accuracy of 90% applying the polarity index method for the identification of such antibacterial peptide groups. In the recent decades, antibacterial peptides have occupied a strategic position for pharmaceutical drug applications and became subject of intense research activities since they are used to strengthen the immune system of all living organisms by protecting them from pathogenic bacteria. This work proposes a simple and easy statistical/computational method through a peptide polarity index measure by which an antibacterial peptide subgroup can be efficiently identified, that is, characterized by a high toxicity to bacterial membranes but presents a low toxicity to mammal cells. These peptides also have the feature not to adopt to an alpha-helicoidal structure in aqueous solution. The double-blind test carried out to the whole Antimicrobial Peptide Database (November 2011) showed an accuracy of 90% applying the polarity index method for the identification of such antibacterial peptide groups.Erratum to “Characterization of Selective Antibacterial Peptides by Polarity Index”dx.doi.org/10.1155/2012/613053 In the recent decades, antibacterial peptides have occupied a strategic position for pharmaceutical drug applications and became subject of intense research activities since they are used to strengthen the immune system of all living organisms by protecting them from pathogenic bacteria. This work proposes a simple and easy statistical/computational method through a peptide polarity index measure by which an antibacterial peptide subgroup can be efficiently identified, that is, characterized by a high toxicity to bacterial membranes but presents a low toxicity to mammal cells. These peptides also have the feature not to adopt to an alpha-helicoidal structure in aqueous solution. The double-blind test carried out to the whole Antimicrobial Peptide Database (November 2011) showed an accuracy of 90% applying the polarity index method for the identification of such antibacterial peptide groups.In the recent decades, antibacterial peptides have occupied a strategic position for pharmaceutical drug applications and became subject of intense research activities since they are used to strengthen the immune system of all living organisms by protecting them from pathogenic bacteria. This work proposes a simple and easy statistical/computational method through a peptide polarity index measure by which an antibacterial peptide subgroup can be efficiently identified, that is, characterized by a high toxicity to bacterial membranes but presents a low toxicity to mammal cells. These peptides also have the feature not to adopt to an alpha-helicoidal structure in aqueous solution. The double-blind test carried out to the whole Antimicrobial Peptide Database (November 2011) showed an accuracy of 90% applying the polarity index method for the identification of such antibacterial peptide groups. |
| Author | Negron-Mendoza, A. Buhse, Thomas Polanco, Carlos Samaniego, J. L. Castanon-Gonzalez, J. A. Mosqueira, F. G. Ramos-Bernal, S. |
| AuthorAffiliation | 5 Instituto de Ciencias Nucleares, Universidad Nacional Autonoma de México, Ciudad Universitaria, P.O. Box 70543, 04510 Mexico City, DF, Mexico 2 Subdireccion de Epidemiologia Hospitalaria y Control de Calidad de la Atencion Medica, Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran, Vasco de Quiroga 15, Piso 4, Colonia Seccion XVI, 14000 Mexico City, DF, Mexico 3 Departamento de Matematicas, Facultad de Ciencias, Universidad Nacional Autonoma de México, Ciudad Universitaria, 04510 Mexico City, DF, Mexico 1 Centro de Investigaciones Químicas, Universidad Autónoma del Estado de Morelos, Avenida Universidad 1001, 62209 Cuernavaca, MOR, Mexico 4 Direccion General de Divulgacion de la Ciencia, Universidad Nacional Autonoma de Mexico, Ciudad Universitaria, P.O. Box 70487, 04510 Mexico City, DF, Mexico |
| AuthorAffiliation_xml | – name: 3 Departamento de Matematicas, Facultad de Ciencias, Universidad Nacional Autonoma de México, Ciudad Universitaria, 04510 Mexico City, DF, Mexico – name: 2 Subdireccion de Epidemiologia Hospitalaria y Control de Calidad de la Atencion Medica, Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran, Vasco de Quiroga 15, Piso 4, Colonia Seccion XVI, 14000 Mexico City, DF, Mexico – name: 4 Direccion General de Divulgacion de la Ciencia, Universidad Nacional Autonoma de Mexico, Ciudad Universitaria, P.O. Box 70487, 04510 Mexico City, DF, Mexico – name: 1 Centro de Investigaciones Químicas, Universidad Autónoma del Estado de Morelos, Avenida Universidad 1001, 62209 Cuernavaca, MOR, Mexico – name: 5 Instituto de Ciencias Nucleares, Universidad Nacional Autonoma de México, Ciudad Universitaria, P.O. Box 70543, 04510 Mexico City, DF, Mexico |
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| Contributor | Mosqueira, F. G Buhse, Thomas Polanco, Carlos Samaniego, J. L Negron-Mendoza, A Castanon-Gonzalez, J. A Ramos-Bernal, S |
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| Copyright | Copyright © 2012 C. Polanco et al. Copyright © 2012 C. Polanco et al. C. Polanco et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Copyright © 2012 C. Polanco et al. 2012 |
| Copyright_xml | – notice: Copyright © 2012 C. Polanco et al. – notice: Copyright © 2012 C. Polanco et al. C. Polanco et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. – notice: Copyright © 2012 C. Polanco et al. 2012 |
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| SubjectTerms | Amino acids Antimicrobial peptides Aqueous solutions Bacteria Classification Computer applications Efficiency Immune system Immunosuppressive agents Peptides Personal relationships Pharmaceuticals Polarity Proteins Statistical analysis Statistical methods Statistics Toxicity |
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| Title | Characterization of Selective Antibacterial Peptides by Polarity Index |
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