Pencerakinan kajian istilah dan terjemahan BERNAMA Arab ke bahasa Melayu dan Inggeris

Artikel ini membincangkan aspek kajian istilah dan terjemahan yang dilakukan pada BERNAMA Arab ke bahasa Melayu dan juga Inggeris sebagai medan pembelajaran bagi pelajar bidang pengkhususan bahasa dan kesusasteraan Arab masa kini. Objektif kajian ini adalah untuk meneliti ketepatan penggunaan istilah dari BERNAMA Arab ke bahasa Melayu dan Inggeris, di samping menterjemahkan teks BERNAMA Arab dalam semua aspek ke bahasa Melayu dan Inggeris. Artikel ini juga bertujuan untuk memaparkan padanan istilah dari BERNAMA Arab ke istilah bahasa Melayu dan Inggeris. Keseluruhan kajian ini menggunakan kaedah kualitatif dengan mengaplikasi analisis kandungan seperti rujukan bahan ilmiah utama berdasarkan buku, kamus dan jurnal, di samping bahan utama daripada internet melalui tapak web BERNAMA.com dan tapak web lain yang berkaitan dengannya. Dapatan kajian menunjukkan padanan istilah dipadankan mengikut kesesuaian makna dan secara langsung turut memaparkan istilah yang dapat membantu khalayak pembaca memahami istilah yang sering diguna pakai. Selain itu, hasil kajian menunjukkan terdapat perkataan yang mempunyai istilah yang sama dan makna yang sama, gaya bahasa yang membawa maksud yang berlainan serta kata nama khas. Hasil kajian ini diharapkan dapat memberikan impak yang positif dan menyumbang kepada pemugaran pembelajaran bahasa Arab secara maya dengan lebih efektif

Perspective: The Role of Cryopreservation Techniques in Manufacturing, Transport, and Storage of Car-T Therapy Products

Several clinical trials have proved the efficacy and safety of T-cells chimeric antigen receptor (CAR-T cells) in treatment of malignant lymphoma and the first products were registered in the European Union in 2018. The shelf-life of CAR-T cell products in the liquid state is short, so cryopreservation offers a significant benefit for logistics in manufacturing and patient management. Direct shipment of the cryopreserved CAR-T cell therapy products to the clinical department is feasible, nevertheless, intermediate storage in the hospital cryostorage facility gives significant advantage in planning of their administration to patients. Moreover, some manufacturers prefer transport of the starting material cryopreserved at the collection site. The cryopreservation protocol used for starting material by the authors is based on combining dimethyl sulphoxide (DMSO) with hydroxyethyl starch (HES) and slow controlled cooling in cryobags housed in metal cassettes. This achieves the mononuclear cell post-thaw viability of 98.8 ± 0.5 % and recovery of 72.8, ± 10.2 %. Transport of the starting material to the manufactures and return transport of the CAR-T therapy product is performed by authorized courier companies. Intermediate cryostorage of the final CAR-T cell therapy product is performed in a separate dry-storage liquid nitrogen container. On the day of infusion, the cryopreserved products are transported to the clinical department in a dry shipper. On the wards the product is removed from the cassette, inserted into a sterile plastic bag, thawed in a 37 °C water bath followed by immediate intravenous administration. The authors discuss the adherence of the used technology to good manufacturing practice (GMP) principles and genetic safety assurance rules

Prediction of protein assemblies, the next frontier: The CASP14-CAPRI experiment

We present the results for CAPRI Round 50, the fourth joint CASP-CAPRI protein assembly prediction challenge. The Round comprised a total of twelve targets, including six dimers, three trimers, and three higher-order oligomers. Four of these were easy targets, for which good structural templates were available either for the full assembly, or for the main interfaces (of the higher-order oligomers). Eight were difficult targets for which only distantly related templates were found for the individual subunits. Twenty-five CAPRI groups including eight automatic servers submitted ~1250 models per target. Twenty groups including six servers participated in the CAPRI scoring challenge submitted ~190 models per target. The accuracy of the predicted models was evaluated using the classical CAPRI criteria. The prediction performance was measured by a weighted scoring scheme that takes into account the number of models of acceptable quality or higher submitted by each group as part of their five top-ranking models. Compared to the previous CASP-CAPRI challenge, top performing groups submitted such models for a larger fraction (70–75%) of the targets in this Round, but fewer of these models were of high accuracy. Scorer groups achieved stronger performance with more groups submitting correct models for 70–80% of the targets or achieving high accuracy predictions. Servers performed less well in general, except for the MDOCKPP and LZERD servers, who performed on par with human groups. In addition to these results, major advances in methodology are discussed, providing an informative overview of where the prediction of protein assemblies currently stands.Cancer Research UK, Grant/Award Number: FC001003; Changzhou Science and Technology Bureau, Grant/Award Number: CE20200503; Department of Energy and Climate Change, Grant/Award Numbers: DE-AR001213, DE-SC0020400, DE-SC0021303; H2020 European Institute of Innovation and Technology, Grant/Award Numbers: 675728, 777536, 823830; Institut national de recherche en informatique et en automatique (INRIA), Grant/Award Number: Cordi-S; Lietuvos Mokslo Taryba, Grant/Award Numbers: S-MIP-17-60, S-MIP-21-35; Medical Research Council, Grant/Award Number: FC001003; Japan Society for the Promotion of Science KAKENHI, Grant/Award Number: JP19J00950; Ministerio de Ciencia e Innovación, Grant/Award Number: PID2019-110167RB-I00; Narodowe Centrum Nauki, Grant/Award Numbers: UMO-2017/25/B/ST4/01026, UMO-2017/26/M/ST4/00044, UMO-2017/27/B/ST4/00926; National Institute of General Medical Sciences, Grant/Award Numbers: R21GM127952, R35GM118078, RM1135136, T32GM132024; National Institutes of Health, Grant/Award Numbers: R01GM074255, R01GM078221, R01GM093123, R01GM109980, R01GM133840, R01GN123055, R01HL142301, R35GM124952, R35GM136409; National Natural Science Foundation of China, Grant/Award Number: 81603152; National Science Foundation, Grant/Award Numbers: AF1645512, CCF1943008, CMMI1825941, DBI1759277, DBI1759934, DBI1917263, DBI20036350, IIS1763246, MCB1925643; NWO, Grant/Award Number: TOP-PUNT 718.015.001; Wellcome Trust, Grant/Award Number: FC00100

Serogroup and Clonal Characterization of Czech Invasive Neisseria meningitidis Strains Isolated from 1971 to 2015.

BACKGROUND:This study presents antigenic and genetic characteristics of Neisseria meningitidis strains recovered from invasive meningococcal disease (IMD) in the Czech Republic in 1971-2015. MATERIAL AND METHODS:A total of 1970 isolates from IMD, referred to the National Reference Laboratory for Meningococcal Infections in 1971-2015, were studied. All isolates were identified and characterized by conventional biochemical and serological tests. Most isolates (82.5%) were characterized by multilocus sequence typing method. RESULTS:In the study period 1971-2015, the leading serogroup was B (52.4%), most often assigned to clonal complexes cc32, cc41/44, cc18, and cc269. A significant percentage of strains were of serogroup C (41.4%), with high clonal homogeneity due to hyperinvasive complex cc11, which played an important role in IMD in the Czech Republic in the mid-1990s. Serogroup Y isolates, mostly assigned to cc23, and isolates of clonally homogeneous serogroup W have also been recovered more often over the last years. CONCLUSION:The incidence of IMD and distribution of serogroups and clonal complexes of N. meningitidis in the Czech Republic varied over time, as can be seen from the long-term monitoring, including molecular surveillance data. Data from the conventional and molecular IMD surveillance are helpful in refining the antimeningococcal vaccination strategy in the Czech Republic

Native or Non-Native Protein-Protein Docking Models? Molecular Dynamics to the Rescue

Molecular docking excels at creating a plethora of potential models of protein-protein complexes. To correctly distinguish the favorable, native-like models from the remaining ones remains, however, a challenge. We assessed here if a protocol based on molecular dynamics (MD) simulations would allow distinguishing native from non-native models to complement scoring functions used in docking. To this end, the first models for 25 protein-protein complexes were generated using HADDOCK. Next, MD simulations complemented with machine learning were used to discriminate between native and non-native complexes based on a combination of metrics reporting on the stability of the initial models. Native models showed higher stability in almost all measured properties, including the key ones used for scoring in the Critical Assessment of PRedicted Interaction (CAPRI) competition, namely the positional root mean square deviations and fraction of native contacts from the initial docked model. A random forest classifier was trained, reaching a 0.85 accuracy in correctly distinguishing native from non-native complexes. Reasonably modest simulation lengths of the order of 50-100 ns are sufficient to reach this accuracy, which makes this approach applicable in practice

Number of isolates of <i>N</i>. <i>meningitidis</i> from invasive meningococcal disease, Czech Republic, 1971–2015, n = 1970.

<p>Number of isolates of <i>N</i>. <i>meningitidis</i> from invasive meningococcal disease, Czech Republic, 1971–2015, n = 1970.</p

Annual distribution of major clonal complexes of <i>N</i>. <i>meningitidis</i> from invasive meningococcal disease, Czech Republic, 1971–2015, n = 1970 (cc = clonal complex, ccUA = unassigned clonal complex, nd = not defined).

<p>Annual distribution of major clonal complexes of <i>N</i>. <i>meningitidis</i> from invasive meningococcal disease, Czech Republic, 1971–2015, n = 1970 (cc = clonal complex, ccUA = unassigned clonal complex, nd = not defined).</p