Binding of TCR multimers and a TCR-like antibody with distinct fine-specificities is dependent on the surface density of HLA complexes by Low, Jianrong L., Gehring, Adam J., Kranz, David M., Grotenbreg, Gijsbert M., Yau, Yin Hoe, Shochat, Susana Geifman, Bertoletti, Antonio, Naidoo, Anneta, Yeo, Gladys, Ho, Zi Zong

“…Various protein scaffolds have been designed to recapitulate the specific recognition of presented antigens with the aim to be exploited both diagnostically (e.g. to visualize cells exposed to infectious agents or cellular transformation) and therapeutically (e.g. for the delivery of drugs to compromised cells). In line with this, we report the construction of a soluble tetrameric form of an αβ T cell receptor (TCR) specific for the HBV epitope Env183–191 restricted by HLA-A*02:01, and compare its avidity and fine-specificity with a TCR-like monoclonal antibody generated against the same HLA target. …”
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Collection and analysis on data from Drugs.com by Aw, Teng Teng

“…In this report, Scrapy, is a web scraper, which will be used to extract data from Drugs.com. Scrapy is a framework, done in Python and the outputs will be saved in JSON files. …”
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Nanosized silica particles for chiral drug separation by Tan, Timothy Thatt Yang.

“…The chiral compounds can be separated but future work needs to be done to fine-tune the nanoparticles properties to optimize separation efficiencies. …”
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Roughness-Controlled Self-Assembly of Mannitol/LB Agar Microparticles by Polymorphic Transformation for Pulmonary Drug Delivery by Zhang, Fengying, Ngoc, Nguyen Thi Quynh, Tay, Bao Hui, Mendyk, Aleksander, Shao, Yu-Hsuan, Lau, Raymond

“…SEM images coupled with image analysis software reveal that different surface morphology of the microparticles have different drug adhesion mechanisms. Comparison of ACI results and image analysis of SEM images shows that an increase in the particle surface roughness can increase the fine particle fractions (FPFs) using the rod-covered mannitol microparticles as drug carriers. …”
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AI is a viable alternative to high throughput screening: a 318-target study by Wallach, Izhar, Bernard, Denzil, Nguyen, Kong, Ho, Gregory, Morrison, Adrian, Stecula, Adrian, Rosnik, Andreana, O’Sullivan, Ann Marie, Davtyan, Aram, Samudio, Ben, Thomas, Bill, Worley, Brad, Butler, Brittany, Laggner, Christian, Thayer, Desiree, Moharreri, Ehsan, Friedland, Greg, Truong, Ha, van den Bedem, Henry, Ng, Ho Leung, Stafford, Kate, Sarangapani, Krishna, Giesler, Kyle, Ngo, Lien, Mysinger, Michael, Ahmed, Mostafa, Anthis, Nicholas J., Henriksen, Niel, Gniewek, Pawel, Eckert, Sam, de Oliveira, Saulo, Suterwala, Shabbir, PrasadPrasad, Srimukh Veccham Krishna, Shek, Stefani, Contreras, Stephanie, Hare, Stephanie, Palazzo, Teresa, O’Brien, Terrence E., Van Grack, Tessa, Williams, Tiffany, Chern, Ting-Rong, Kenyon, Victor, Lee, Andreia H., Cann, Andrew B., Bergman, Bastiaan, Anderson, Brandon M., Cox, Bryan D., Warrington, Jeffrey M., Sorenson, Jon M., Goldenberg, Joshua M., Young, Matthew A., DeHaan, Nicholas, Pemberton, Ryan P., Schroedl, Stefan, Abramyan, Tigran M., Gupta, Tushita, Mysore, Venkatesh, Presser, Adam G., Ferrando, Adolfo A., Andricopulo, Adriano D., Ghosh, Agnidipta, Ayachi, Aicha Gharbi, Mushtaq, Aisha, Shaqra, Ala M., Toh, Alan Kie Leong, Smrcka, Alan V., Ciccia, Alberto, de Oliveira, Aldo Sena, Sverzhinsky, Aleksandr, de Sousa, Alessandra Mara, Agoulnik, Alexander I., Kushnir, Alexander, Freiberg, Alexander N., Statsyuk, Alexander V., Gingras, Alexandre R., Degterev, Alexei, Tomilov, Alexey, Vrielink, Alice, Garaeva, Alisa A., Bryant-Friedrich, Amanda, Caflisch, Amedeo, Patel, Amit K., Rangarajan, Amith Vikram, Matheeussen, An, Battistoni, Andrea, Caporali, Andrea, Chini, Andrea, Ilari, Andrea, Mattevi, Andrea, Foote, Andrea Talbot, Trabocchi, Andrea, Stahl, Andreas, Herr, Andrew B., Berti, Andrew, Freywald, Andrew, Reidenbach, Andrew G., Lam, Andrew, Cuddihy, Andrew R., White, Andrew, Taglialatela, Angelo

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Pathogen diversity and antimicrobial resistance transmission of Salmonella enterica serovars Typhi and Paratyphi A in Bangladesh, Nepal, and Malawi: a genomic epidemiological study... by Dyson, ZA, Ashton, PM, Khanam, F, Chunga Chirambo, A, Shakya, M, Meiring, JE, Tonks, S, Karkey, A, Msefula, C, Clemens, JD, Dunstan, SJ, Baker, S, Dougan, G, Pitzer, VE, Basnyat, B, Qadri, F, Heyderman, RS, Gordon, MA, Holt, KE, Pollard, AJ, STRATAA Study Group

“…</p> <br> <p><strong>Funding:</strong> Wellcome Trust, Bill &amp; Melinda Gates Foundation, EU Horizon 2020, and UK National Institute for Health and Care Research.…”

Rapid construction of green nanopesticide delivery systems using sophorolipids as surfactants by flash nanoprecipitation by Ma, Enguang, Chen, Kai, Sun, Liang, Fu, Zhinan, Guo, Jiangtao, Liu, Jichang, Zhao, Jigang, Liu, Zhiyong, Lei, Zhigang, Li, Li, Hu, Xiao, Guo, Xuhong

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Complex coacervates loaded with nano enzymes as microreactor by Ng, Si Yi

“…Furthermore, the properties of nanozymes are controllable and can be fine-tuned for optimal efficiency alongside its versatility for specific applications. …”
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Delay-and-pay: prolonging pharmaceutical patent protection without paying the ‘price’ by Foss-Solbrekk, K

“…<p>This thesis argues that actors use the patent system as part of a ‘delay-and-pay’ strategy to preserve drug prices for as long as possible by delaying generic/biosimilar market entry – and that they have a significant incentive to do so. …”

Investigation of blood pressure regulation schemes by Chai, Chang Yong

“…Hence, continuous monitoring and careful control of the infusion of drug is required. Since the middle 1970s, many researches have been conducted using various types of feedback control system to regulate blood pressure through the infusion of antihypertension drug [5]. …”
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Developing optogenetics for use in vascular research by Rorsman, N

“…Within this range, mice expressing ChR2(H134R) in SMCs are a powerful experimental model for achieving accurate and tuneable optical voltage-clamp of SMCs and finely-graded control of arterial tone, offering new avenues to the discovery of vasorelaxing drugs.…”

Mechanism of damnacanthal induced apoptosis in CEM-SS cell line by Gopalsamy, Banulata, Saiful Yazan, Latifah, Abdul Hamid, Hisyam

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Cloud Spark Cluster to analyse English prescription big data for NHS intelligence by Fernando, Sandra, Sowinski-Mydlarz, Viktor, Virdee, Bal Singh

“…This study illustrates regions as well as GP practices in terms of reimbursement cost, drug consumption level, the type of the drug, and the disease type; varied demand for dispensed chemical substances over the years; shows what diseases have increased or decreased over the years as well as the total cost and its trends.…”
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Data-Driven Classification of Pharmaceutical and Biotechnology Companies by Xu, Angelina

“…We use fundamental financial data, 10-K filings, and company drug development data to develop this new classification scheme. …”
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Synthesis, antimalarial activity, and molecular dynamic approaches of salophen metal complexes by Ali, Amatul Hamizah, Mukhtar, Nur Hafizah, Ling, Ng Yee, Norazmi, Nur Aqilah Zahirah, Agustar, Hani Kartini, Ling, Lau Yee, Abd Karim, Nurul Huda, Yusoff, Siti Fairus Mohd, Borzehandani, Mostafa Yousefzadeh, Hassan, Nurul Izzaty

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The role of tumour necrosis factor alpha stimulated gene-6 on bone by Afrough, S

“…</p> <p>The rapidly-advancing field of osteoimmunology recognises the close and finely-tuned interaction between the immune system and musculoskeletal organisation. …”