Medical Microbiology and Molecular Biology Lab, Interdisciplinary Biotechnology Unit, Aligarh Muslim University, Aligarh, India.
PLoS One. 2020 Jun 25;15(6):e0235193. doi: 10.1371/journal.pone.0235193. eCollection 2020.
Antimicrobial resistance is becoming a growing health problem, which has become a challenge for the physicians to control infection and also an economic burden on the healthcare. This increase in resistance to the present antimicrobial agents led the researchers to find some alternative and more efficient drugs which can fight with the resistant microorganisms more effectively. Hence, in silico approach is used to design some novel drugs against various targets of microorganisms. For effective virtual screening of the drugs, there is a need to know about the chemical structure and properties of the antimicrobial agents. Therefore, we have prepared a comprehensive database as a platform for the researcher to search for possible lead molecules. Antimicrobial chemotherapeutics database (ACD) is comprised of ~4100 synthetic antimicrobial compounds as well as ~1030 active antimicrobial peptides. The Antimicrobial peptides are mainly from biological sources but some of them are synthetic in nature. Only those compounds, which are found to be active against either bacteria (both Gram-positive and negative) or fungus, are selected for this database.The ACD database is freely available at URL: http://amdr.amu.ac.in/acd, and it is compatible with desktops, smartphones, and tablets.
抗菌药物耐药性日益成为一个严重的健康问题,这不仅对医生控制感染提出了挑战,也给医疗保健带来了经济负担。目前抗菌药物的耐药性不断增加,促使研究人员寻找一些替代的、更有效的药物,以更有效地对抗耐药微生物。因此,人们采用计算方法来设计针对各种微生物靶标的新型药物。为了有效地进行虚拟药物筛选,需要了解抗菌药物的化学结构和特性。因此,我们已经准备了一个综合数据库,作为研究人员搜索潜在先导分子的平台。抗菌化学治疗数据库(ACD)包含约 4100 种合成抗菌化合物和约 1030 种具有抗菌活性的肽。抗菌肽主要来自生物来源,但也有一些是人工合成的。只有那些被发现对细菌(革兰氏阳性菌和革兰氏阴性菌)或真菌具有活性的化合物才被选择用于这个数据库。ACD 数据库可在 URL:http://amdr.amu.ac.in/acd 免费获取,它与台式机、智能手机和平板电脑兼容。