Kaixian Chen

Bio: Kaixian Chen is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Virtual screening & Docking (molecular). The author has an hindex of 47, co-authored 380 publications receiving 9209 citations. Previous affiliations of Kaixian Chen include Shanghai University & East China University of Science and Technology.

Thiophene [3, 2-d] combined pyrimidine-4-ketone compound and preparation method thereof and medicine combination and application

Abstract: The invention relates to a thiophene [3, 2-d] combined pyrimidine-4-ketone compound and a preparation method thereof and a medicine combination and pharmacological application. A structure general formula is showed in a formula (I). The compound has good inhibiting effect to DDPIV (dipeptide kininase IV) and is a strong DDPIV inhibitor and capable of indirectly improving content of glucagon-like peptide-1 (GLP-1) in a body so that a series of physiological effects are caused in the body, the purpose of type 2 diabetes treatment is achieved and the compound is hopeful of being developed to a new diabetes treatment medicine.

[Advances in the structure-activity relationship study of natural flavonoids and its derivatives].

Abstract: Flavonoids are a large class of compounds widely distributed in nature. Many pharmacological activities of flavonoids have been reported such as anti-cancer, antioxidant, anti-inflammatory, hepatoprotective, antithrombotic, vasodilator, antiviral, antibacterial, antiallergic, and so on. In recent years, domestic and foreign research groups choose natural flavonoids and optimize their chemical structures in order to develop a number of new derivatives with stronger pharmacological activities. As part of the mechanisms are not clear, we need to strengthen in-depth research in the SAR (structure-activity relationship) study for targeted and efficient structure optimization. This paper systematically summarize current researches in the SAR studies of flavonoids and their derivatives, which can serve as a reference for synthesizing new flavonoid derivatives.

Diaryl[a, g]quinolizidine compound, preparation method therefor, pharmaceutical composition, and uses thereof

Abstract: The present invention relates to a diarylo[a,g]quinolizidine compound of formula (I), enantiomer, diastereoisomer, racemate, mixture, pharmaceutically acceptable salt, crystalline hydrate or solvate thereof; the preparation method thereof, and uses thereof in preparing an experimental model drugs related to dopamine receptors and 5-HT receptors or a medicament for treating or preventing a disease related to dopamine receptors and 5-HT receptors.

Trans-indoline cyclopropylamine chemical compound, and method for preparation, pharmaceutical composition, and use thereof

Abstract: The present invention relates to the fields of medicinal chemistry and pharmacotherapy, and specifically relates to the chemical compound of formula (I), and its racemate, R-isomer, S-isomer, pharmaceutically acceptable salt, and mixtures thereof, as well as its method for preparation, a pharmaceutical composition containing said chemical compound, and use as a lysine-specific demethylase 1 (LSD1) inhibitor. The cyclopropylamine chemical compound to which the present invention relates may be used in the treatment of cancer.

Pattern Recognition and Machine Learning

Abstract: Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

“Bioinformatics” 특집을 내면서

Abstract: BIOE 402. Medical Technology Assessment. 2 or 3 hours. Bioentrepreneur course. Assessment of medical technology in the context of commercialization. Objectives, competition, market share, funding, pricing, manufacturing, growth, and intellectual property; many issues unique to biomedical products. Course Information: 2 undergraduate hours. 3 graduate hours. Prerequisite(s): Junior standing or above and consent of the instructor.

Structure of Mpro from SARS-CoV-2 and discovery of its inhibitors

Abstract: A new coronavirus, known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is the aetiological agent responsible for the 2019–2020 viral pneumonia outbreak of coronavirus disease 2019 (COVID-19)1–4. Currently, there are no targeted therapeutic agents for the treatment of this disease, and effective treatment options remain very limited. Here we describe the results of a programme that aimed to rapidly discover lead compounds for clinical use, by combining structure-assisted drug design, virtual drug screening and high-throughput screening. This programme focused on identifying drug leads that target main protease (Mpro) of SARS-CoV-2: Mpro is a key enzyme of coronaviruses and has a pivotal role in mediating viral replication and transcription, making it an attractive drug target for SARS-CoV-25,6. We identified a mechanism-based inhibitor (N3) by computer-aided drug design, and then determined the crystal structure of Mpro of SARS-CoV-2 in complex with this compound. Through a combination of structure-based virtual and high-throughput screening, we assayed more than 10,000 compounds—including approved drugs, drug candidates in clinical trials and other pharmacologically active compounds—as inhibitors of Mpro. Six of these compounds inhibited Mpro, showing half-maximal inhibitory concentration values that ranged from 0.67 to 21.4 μM. One of these compounds (ebselen) also exhibited promising antiviral activity in cell-based assays. Our results demonstrate the efficacy of our screening strategy, which can lead to the rapid discovery of drug leads with clinical potential in response to new infectious diseases for which no specific drugs or vaccines are available. A programme of structure-assisted drug design and high-throughput screening identifies six compounds that inhibit the main protease of SARS-CoV-2, demonstrating the ability of this strategy to isolate drug leads with clinical potential.

New Substructure Filters for Removal of Pan Assay Interference Compounds (PAINS) from Screening Libraries and for Their Exclusion in Bioassays

Abstract: This report describes a number of substructural features which can help to identify compounds that appear as frequent hitters (promiscuous compounds) in many biochemical high throughput screens. The compounds identified by such substructural features are not recognized by filters commonly used to identify reactive compounds. Even though these substructural features were identified using only one assay detection technology, such compounds have been reported to be active from many different assays. In fact, these compounds are increasingly prevalent in the literature as potential starting points for further exploration, whereas they may not be.