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| 1 | History of cupping(Hijama):a narrative review of literature显示文摘Cupping(Hijama in Arabic) is an ancient, holistic method for the treatment of a variety of diseases. Though the exact origin of cupping therapy is a matter of controversy, its use has been documented in early Egyptian and Chinese medical practices. Diverse human civilizations have contributed to the historical development and continuation of cupping therapy. This narrative review describes the history of cupping, historical definitions, cupping instruments and uses of cupping therapy. Electronic searches of relevant databases(Pub Med, Google Scholar and Ovid SP) were conducted using keywords and Boolean operators. Manual searches and references of published articles and books were also conducted. A number of articles(N = 625) were retained for extensive review, and finally 83 articles were included in this paper. The historical descriptions of cupping therapy were found in ancient human civilizations of the Eastern and Western world. There were inconsistent data concerning the origin of cupping, definitions, instruments, procedures, definite advancements and research in Hijama over centuries. Cupping therapy fell out of favor in 17 th and mid-18 th centuries but recovered popularity in modern medicine. Currently, cupping therapy is used for health promotion, prophylaxis and treatment of a variety of diseases around the world. Cupping therapy with a good safety profile has a checkered history and is a well-recognized traditional method for managing medical conditions. Currently, the scope of cupping therapy is expanding, and a growing body of research is providing additional evidence-based data for the further advancement of cupping therapy in the treatment of a variety of diseases. | Naseem Akhtar Qureshi Gazzaffi Ibrahim Ali Tamer Shaban Abushanab Ahmed Tawfik El-Olemy Meshari Saleh Alqaed Ibrahim S. EI-Subai Abdullah M.N. AI-Bedah | 2017 | Journal of Integrative Medicine2017，15，3： | 4 |
| 2 | Safety and efficacy of peginterferon-α2a plus ribavirin treatment in renal transplant recipients with chronic hepatitis C显示文摘 | Faisal M. Sanai Dujana Mousa Abdallah Al-Mdani Ghada Al-Shoail Hamad Al-Ashgar Khalid Al Meshari Ahmed Al-Qahtani Mayssa Saadeh Khalid I. Bzeizi Hassan Aleid | 2013 | Journal of Hepatology2013，，6： | 2 |
| 3 | Computational Fluid Dynamics (CFD) Simulations on the Effect of Rough Surface on Atmospheric Turbulence Flow Above Hilly Terrain Shapes显示文摘 | MohamedF. Yassin Meshari Al-Harbi MohamedA. Kassem | 2014 | Environmental Forensics2014，，2： | 1 |
| 4 | Outcome of Desensitization in Human Leukocyte Antigen– and ABO-Incompatible Living Donor Kidney Transplantation: A Single-Center Experience in More Than 100 Patients显示文摘 | K. Al Meshari A. Pall A. Chaballout H. El Gamal H. Al Mana H. Humaidan F. Alzayer M. Al Talhi | 2013 | Transplantation Proceedings2013，，4： | 1 |
| 5 | The effects of regeneration-phase CO and/or H 2 amount on the performance of a NO X storage/reduction catalyst显示文摘 | Meshari AL-Harbi William S. Epling | 2008 | Applied Catalysis B Environmental2008，，3： | 1 |
| 6 | QAUST:Protein Function Prediction Using Structure Similarity,Protein Interaction,and Functional Motifs显示文摘The number of available protein sequences in public databases is increasing exponentially.However,a sig-nificant percentage of these sequences lack functional annotation,which is essential for the understanding of how bio-logical systems operate.Here,we propose a novel method,Quantitative Annotation of Unknown STructure(QAUST),to infer protein functions,specifically Gene Ontology(GO)terms and Enzyme Commission(EC)numbers.QAUST uses three sources of information:structure information encoded by global and local structure similarity search,biological network information inferred by protein–protein interaction data,and sequence information extracted from functionally discriminative sequence motifs.These three pieces of information are combined by consensus averaging to make the final prediction.Our approach has been tested on 500 protein targets from the Critical Assessment of Functional Annotation(CAFA)benchmark set.The results show that our method provides accurate functional annotation and outperforms other prediction methods based on sequence similarity search or threading.We further demonstrate that a previously unknown function of human tripartite motif-containing 22(TRIM22)protein predicted by QAUST can be experimentally validated. | Fatima Zohra Smaili Shuye Tian Ambrish Roy Meshari Alazmi Stefan T.Arold Srayanta Mukherjee P.Scott Hefty Wei Chen Xin Gao | 2021 | Genomics, Proteomics & Bioinformatics2021，19，6： | 0 |
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