生物信息学用于抗菌肽预测和分子设计的研究进展

Research Progress on the Application of Bioinformatics in Prediction and Molecular Design of Antimicrobial Peptide

抗菌肽(AMP)以其特异性抗菌、抗病毒、抗肿瘤功能及快速、广谱、高效等特点,迅速成为具有重要研究价值的新型生物活性肽。寻找合适方法最大限度提高其活性,降低毒性和成本,是新型抗菌肽药物研发过程中面临的首要问题。应用生物信息学工具对新型抗菌肽进行预测或对天然抗菌肽进行分子设计成为解决这一问题的关键。对生物信息学在抗菌肽预测和优化设计中的最新进展进行综述,以期扩大抗菌肽的来源,提高现有抗菌肽的生物活性。

Antimicrobial peptides（AMPs）are being increasingly recognized as novel bioactive peptide with critical research valueowing to their activities of anti-bacterium,antivirus and antitumor as well as properties of rapidness,broad-spectrum,and high efficiency.Whereas a crucial issue in AMP drug development is how to seek appropriate approaches for maximally improving the bioactivity and decreasingthe toxicity and production cost. Applying bioinformatics tools to predict novel AMP and to carry out the molecular design of natural AMP is thekey to solve this problem. The new progress on bioinformatics involved in AMP prediction and optimal design is reviewed. in order to expand thesources of new AMPs and elevate the bioactivities of known AMPs.