Abstract: Disclosed are a system and method of predicting sensitivity of Klebsiella against MeropeneM, which belong to bioinformatics art. The system comprises a computer readable storage medium on which is stored a computer program. An Exp (?k) power value calculation method is implemented when said computer program is executed by a processor. Said Exp(?k) power value calculation method comprises following computing steps: S1: k value is calculated according to formula I: Formula ? I ? - 1.44 + 0. ? × ( ? ? ) - 0.66 × ( ? ? ) + 0. ? × ( ? ? ) + 3.04 ? × ( ? ? ) - 0.46 × ( ? ? ) ? indicates text missing or illegible when filed S2: Exp(?k) power value with natural constant e as base and ?k as exponent is calculated; wherein, C1-C5 are respectively the number of mphA, marA, Klebsiella pneumoniae KpnE, KPC-1, floR gene copies in the candidate Klebsiella strain.

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%.

Abstract: Disclosed are a system and method of predicting sensitivity of Klebsiella against Cefoxitin, which belong to bioinformatics art. The system comprises a computer readable storage medium on which is stored a computer program. An Exp (?k) power value calculation method is implemented when the computer program is executed by a processor. The Exp(?k) power value calculation method comprises following computing steps: S1: k value is calculated according to formula I: k = 0.032 - 0.557 × ( C ? 1 - 1.008 0.317 ) + 0.054 × ( C ? 2 - 0.667 1.326 ) + 2.878 × ( C ? 3 - 0.552 1.121 ) + 1.021 × ( C ? 4 - 0.072 0.377 ) + 0.772 × ( C ? 5 - 0.036 0.292 ) Formula ? I S2: Exp(?k) power value with natural constant e as base and ?k as exponent is calculated; wherein, C1-C5 are respectively the number of ramA, sul1, KPC-1, DHA-1, bleomycin resistance determinant gene copies in the candidate Klebsiella strain.

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%.