PARP7 negatively regulates the type I interferon response in cancer cells and its inhibition triggers antitumor immunity

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基于文本挖掘和生物医学数据库的新型冠状病毒肺炎药物发现

目的 基于文本挖掘技术和生物医学数据库对新型冠状病毒肺炎（COVID-19）相关文献进行数据挖掘分析，探究COVID-19及其主要症状发热、咳嗽、呼吸障碍相关基因靶点，筛选潜在有效的化学药和中药。方法 使用GenCLiP 3网站获取COVID-19和其主要症状咳嗽、发热、呼吸障碍共4个关键词的共有靶点，在METASCAPE数据库中对其进行基因本体（GO）和通路富集分析，再利用String数据库和Cytoscape软件构建共有靶点的蛋白质相互作用网络，筛选获得核心基因，运用DGIdb数据库、SymMap数据库针对核心基因进行中西医治疗药物预测。结果 获得COVID-19及其主要症状共有基因靶点28个，其中有IL2、IL1B、CCL2等核心基因16个，使用DGIdb数据库筛选获得与16个关键靶点相互作用的化学药包括沙利度胺、来氟米特、环孢素等28种，中药包括虎杖、黄芪、芦荟等70味。结论 COVID-19及其主要症状的病理机制可能和CD4、KNG1、VEGFA等28个共有基因相关，可能通过介导TNF、IL-17等信号通路参与COVID-19病理过程。潜在有效药物可能通过作用相关靶点通路起到治疗COVID-19的作用。     

Drug discovery strategies for acute radiation syndrome

Introduction: There are at the minimum two major, quite different approaches to advance drug discovery. The first being the target-based drug discovery (TBDD) approach that is commonly referred to as the molecular approach. The second approach is the phenotype-based drug discovery (PBDD), also known as physiology-based drug discovery or empirical approach.

Area covered: The authors discuss, herein, the need for developing radiation countermeasure agents for various sub-syndromes of acute radiation syndromes (ARS) following TBDD and PBDD approaches. With time and continuous advances in radiation countermeasure drug development research, the expectation is to have multiple radiation countermeasure agents for each sub-syndrome made available to radiation exposed victims.

Expert opinion: The majority of the countermeasures currently being developed for ARS employ the PBDD approach, while the TBDD approach is clearly under-utilized. In the future, an improved drug development strategy might be a ‘hybrid’ strategy that is more reliant on TBDD for the initial drug discovery via large-scale screening of potential candidate agents, while utilizing PBDD for secondary screening of those candidates, followed by tertiary analytics phase in order to pinpoint efficacious candidates that target the specific sub-syndromes of ARS.     

基于频数分析法的骨伤科中成药用药规律研究

目的：探讨骨伤科中成药的用药规律，为临床合理用药及新药开发提供参考。方法：以《中国药典》2015年版一部收载的骨伤科类中成药共149个为研究对象，运用频数分析的方法研究其主治病症、所用剂型、各类方剂高频药物、核心药物组成，分析骨伤科中成药用药规律。结果：常用骨伤科中成药中治疗骨关节痹症的最多，其次为跌打损伤和骨关节退行性疾病的中成药；剂型以胶囊剂、片剂、丸剂为主；以活血化瘀药、祛风湿药、补虚药为核心药物组合，各类方剂中三者比例偏重不同。结论：通过对研究结果进行分析，提出了新药研发的方向。     

Academic–Industrial Collaboration: Toward the Consilience of Two Solitudes

Current major advances in drug discovery can be traced back to pioneering contributions originating from academics over a century ago. Living in a symbiotic yet noninvasive coexistence, the academic community and the pharmaceutical industry have strived, each in their own way, to develop the modern medicines that benefit humankind today. The subject is presented from a historical and personal perspective.     

土壤环境基因组技术及其在新药发现中的应用

土壤是微生物最重要的生境，土壤微生物具有极大的多样性。然而传统培养技术只能得到约1％的微生物纯培养，其余都是未被纯培养微生物。利用土壤环境基因组技术，可以把未被纯培养微生物的基因克隆到载体中并在宿主中进行表达，获得比已培养微生物丰富的代谢产物多样性，这为我们发现新颖结构先导化合物以及新药开辟了新的道路。本文介绍应用环境基因组技术构建土壤DNA文库的思路和方法。     

Preclinical Drug Metabolism in the Age of High-Throughput Screening: An Industrial Perspective

With the advent of genomics, combinatorial paradigms and high-throughput screen (HTS)-based pharmacological testing, the number of compounds flowing through the discovery pipeline is likely to escalate. At the same time, with increased knowledge of the human drug-metabolizing enzymes and the availability of in vitro absorption-metabolism (AM) models, Preclinical Drug Metabolism is poised to meet the challenges of HTS. In order to be successful, however, a rational HTS strategy (vs. serendipitous HTS) has to be employed. Such a strategy is based on automation, validation and integration of in vitroAM models and database management (AVID). A generalized strategy for rational (AVID-based) HTS in Preclinical Drug Metabolism is described briefly.     

Predicting development of sustained unresponsiveness to milk oral immunotherapy using epitope-specific antibody binding profiles

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Sputum microbiome profiles identify severe asthma phenotypes of relative stability at 12 to 18 months

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