Elucidating Novel Bacterial Targets and Designing Unusual Antimicrobial Peptides: Two Faces of the Same Proteomic Coin

Franco, Octávio Luiz

doi:10.4172/jpb.s8-001

Cited by 2 publications

(2 citation statements)

References 77 publications

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“…In this context, antimicrobial peptides (AMPs) have been proposed as an alternative strategy to control antibiotic-resistant microorganisms. [1][2][3] AMPs are evolutionarily ancient molecules that have been identified from diverse sources, such as microorganisms, plants and animals. [4][5][6][7] They play an important role in the innate immune system and are the first line of defense to protect internal and external surfaces of the host.…”

Section: Introductionmentioning

confidence: 99%

Sense the moment: A highly sensitive antimicrobial activity predictor based on hydrophobic moment

Porto¹,

Ferreira

Ribeiro

et al. 2022

Biochimica et Biophysica Acta (BBA) - General Subjects

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Section: Introductionmentioning

confidence: 99%

Sense the moment: A highly sensitive antimicrobial activity predictor based on hydrophobic moment

Porto¹,

Ferreira

Ribeiro

et al. 2022

Biochimica et Biophysica Acta (BBA) - General Subjects

View full text Add to dashboard Cite

“…In this context, antimicrobial peptides (AMPs) have been proposed as an alternative strategy to control antibiotic-resistant microorganisms. 1–3 AMPs are evolutionarily ancient molecules that have been identified from diverse sources, such as microorganisms, plants and animals. 4–7 They play an important role in the innate immune system and are the first line of defense to protect internal and external surfaces of the host.…”

Section: Introductionmentioning

confidence: 99%

Sense the Moment: a highly sensitive antimicrobial activity predictor based on hydrophobic moment

Porto

Ferreira

Ribeiro

et al. 2020

Preprint

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The antibiotic resistance crisis has led to the need for new antimicrobial compounds. Computer-aided identification and design tools are indispensable for developing these antimicrobial agents. Antimicrobial peptides (AMPs) have aroused intense interest, since they have a broad spectrum of activity. Several systems for predicting antimicrobial peptides have been developed, using scalar physicochemical properties; however, regardless of the machine learning algorithm, these systems often fail in discriminating AMPs from their shuffled versions, leading to the need for new training methods to overcome this bias. Here we present "Sense the Moment", a prediction system capable of discriminating AMPs and shuffled versions. The system was trained using 682 entries: 342 from known AMPs and another 342 based on shuffled versions of known AMPs. Each entry contained the geometric average of three hydrophobic moments measured with different scales. The model showed good accuracy (>80 %) and excellent sensitivity (>90 %) for AMP prediction. Together with data from a direct screening from the NCBI non-redundant protein data base, our results demonstrate the system's applicability in a real-world scenario, aiding in identifying and discarding non-AMPs, since the number of false negatives is lower than false positives. The application of this model in virtual screening protocols for identifying and/or creating antimicrobial agents could aid in the identification of potential drugs to control pathogenic microorganisms and in solving the antibiotic resistance crisis. The system was implemented as a web application, available at <http://portoreports.com/stm/>.

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Elucidating Novel Bacterial Targets and Designing Unusual Antimicrobial Peptides: Two Faces of the Same Proteomic Coin

Cited by 2 publications

References 77 publications

Sense the moment: A highly sensitive antimicrobial activity predictor based on hydrophobic moment

Sense the moment: A highly sensitive antimicrobial activity predictor based on hydrophobic moment

Sense the Moment: a highly sensitive antimicrobial activity predictor based on hydrophobic moment

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