A concise synthesis of quinazolinone TGF-β RI inhibitor through one-pot three-component Suzuki-Miyaura/etherification and imidate-amide rearrangement reactions

A simple and efficient synthesis of dihydropyrrolopyrazole boronic acid intermediate (5) has been developed. Utilization of a three-component Suzuki-Miyaura/etherification with microwave heating led to advanced compound 11 in high yield and with easy purification. Reaction of compound 11 with methanesulfonyl chloride at room temperature furnished the 1,3 O-N rearranged product (12), which is postulated to proceed via an intramolecular mechanism. The outlined synthesis provides a highly efficient and high-yielding route that is amenable to rapid analog synthesis.     

Studies on the Rh and Ir mediated tandem Pauson-Khand reaction. A new entry into the dicyclopenta[a,d]cyclooctene ring system

A Rh-mediated tandem Pauson-Khand reaction has been developed to provide the desired diastereomer 8a in a 7:1 ratio over the undesired isomer(s), and this has been converted into the [5.8.5] system 11 to provide a potential new route to the ophiobolins.     

Sulfonamides and carbamates of 3-fluoro-4-morpholinoaniline (linezolid intermediate): synthesis,antimicrobial activity and molecular docking study

Research on Chemical Intermediates - The precursor compound 3-fluoro-4-morpholinoaniline (7) is an important intermediate of the antibiotic drug linezolid and was synthesized initially by the...     

An innovation based random weighting estimation mechanism for denoising fiber optic gyro drift signal

In Interferometric Fiber Optic Gyroscope (IFOG), the diminution of random noise and drift error is a critical task. These errors degrade the performance of IFOG. In this paper, a modified adaptive Kalman gain correction (AKFG) algorithm is proposed to denoise IFOG signal. The covariance matrix of innovation sequence is estimated using weighted average window method in which the weights are randomly generated in the range [0, 1]. Innovation based random weighted estimation (IRWE)-AKFG is applied to denoise the IFOG drift signal. The Kalman gain is adaptively updated using the covariance matrix of innovation sequence. The proposed algorithm is applied for denoising IFOG signal under static and dynamic environment. Allan variance method is used to analyze and quantify the stochastic errors in IFOG sensor. The performance of the proposed algorithm is compared with Conventional Kalman filter (CKF) and the simulation results reveal that the proposed algorithm is an efficient algorithm for denoising the IFOG signal.