System and method for predicting susceptibility of genus Klebsiella to amikacin

US12062414B1 · kind B1 · utility

Assignees

• PEKING UNION MEDICAL COLLEGE HOSPITAL, CHINESE ACADEMY OF MEDICAL SCIENCES · CN
• Hangzhou Matridx Biotechnology Co Ltd · CN

Inventors

• Qiwen Yang · Beijing, CN
• Jing Chen · Hsinchu, TW
• Wei Yu · Beijing, CN
• Jun Wang · Nanjing, CN
• Xiaobing Chu · Beijing, CN
• Shiyu Chen · Richmond Hill, US
• Qian Zhang · Sha Tin, CN
• YiQun Mi · Hangzhou City, CN

Key dates

• Filing date: Nov 15, 2023
• Grant date: Aug 13, 2024
• Expiry date: Nov 15, 2043

Classification

• Technology area (CPC Y): Emerging Cross-Sectional Technologies
• CPC primary: Y02A50/30
• WIPO field: Biotechnology
• WIPO sector: Chemistry

Abstract

A system and a method for predicting susceptibility of genus Klebsiella to amikacin are provided. The system includes a calculating unit containing a computer-readable storage medium stored with a computer program; the computer program is used to, when is executed by a processor, implement a calculation method for an Exp(−k) power value, and the calculation method for the Exp(−k) power value includes: step 1, calculating a k value according to formula I; and step 2, calculating the Exp(−k) power value with an Euler's constant e as a base and a −k value as an exponential; and C1 to C5 are respectively copy numbers of an arr-2 gene, an acrB gene, an armA gene, an oqxB gene, and a rmtB gene in to-be-predicted Klebsiella strains. When the method and the system are adopted to predict the susceptibility of the genus Klebsiella to amikacin, an accuracy rate is about 98.8%.