Duque Harry Morales, Rodrigues Gisele, Santos Lucas Souza, Franco Octávio Luiz
Centro de Análises Proteômicas e Bioquímicas, Programa de Pós-Graduação em Ciências Genômicas e Biotecnologia, Universidade Católica de Brasília, PC: (CEP) 70.790-160, Brasília-DF, Brazil.
S-inova Biotech, Programa de Pós-Graduação em Biotecnologia, Universidade Católica Dom Bosco, PC: (CEP) 79117-010, Campo Grande-MS, Brazil.
Expert Opin Drug Discov. 2023 Mar;18(3):287-302. doi: 10.1080/17460441.2023.2173736. Epub 2023 Feb 17.
Antimicrobial peptides (AMP) have received particular attention due to their capacity to kill bacteria. Although much is known about them, peptides are currently being further researched. A large number of AMPs have been discovered, but only a few have been approved for topical use, due to their promiscuity and other challenges, which need to be overcome.
AMPs are diverse in structure. Consequently, they have varied action mechanisms when targeting microorganisms or eukaryotic cells. Herein, the authors focus on linear peptides, particularly those that are alpha-helical structured, and examine how their charge distribution and hydrophobic amino acids could modulate their biological activity.
The world currently needs urgent solutions to the infective problems caused by resistant pathogens. In order to start the race for antimicrobial development from the charge distribution viewpoint, bioinformatic tools will be necessary. Currently, there is no software available that allows to discriminate charge distribution in AMPs and predicts the biological effects of this event. Furthermore, there is no software available that predicts the side-chain length of residues and its role in biological functions. More specialized software is necessary.
抗菌肽(AMP)因其杀灭细菌的能力而受到特别关注。尽管人们对它们已经了解很多,但目前仍在对肽进行进一步研究。已经发现了大量的抗菌肽,但由于它们的混杂性和其他需要克服的挑战,只有少数被批准用于局部应用。
抗菌肽结构多样。因此,它们在靶向微生物或真核细胞时具有不同的作用机制。在此,作者重点关注线性肽,特别是那些具有α-螺旋结构的肽,并研究它们的电荷分布和疏水氨基酸如何调节其生物活性。
目前世界迫切需要解决由耐药病原体引起的感染问题。为了从电荷分布的角度开启抗菌药物开发的竞赛,生物信息学工具将是必要的。目前,没有可用的软件能够区分抗菌肽中的电荷分布并预测这一事件的生物学效应。此外,也没有可用的软件能够预测残基的侧链长度及其在生物学功能中的作用。需要更专业的软件。