1658 results
Search Results
Now showing 1 - 10 of 1658
Item Open Access คู่มือปฏิบัติงาน การตรวจ HLA-B (high resolution) ด้วยวิธี Sequence-based typing(2563) โกมล หลวงตระกูล; มหาวิทยาลัยมหิดล. คณะแพทยศาสตร์ศิริราชพยาบาล. ภาควิชาเวชศาสตร์การธนาคารเลือดItem Metadata only Perinatal transmission of HIV-1 subtype E : diagnosis and nucleotide sequence analysis of pol gene(Mahidol University. Mahidol University Library and Knowledge Center, 2000) Daoroong Piyasatjaboon; Ruengpung Sutthent; Kulkunya Chokephaibulkit; Prasert Auewarakul; Uraiwan KositanontPublication Metadata only Comparison of sentosa® sq deep sequencing-based hiv-1 genotyping coupled to integrated workflow with sanger sequencing method for detection of drug resistance mutations(2018-03-01) Pornpimon Nimitsantiwong; Chorthip Wathitphan; Sukanta Kaveepatharanon; Kanoknun Thanomphakorn; Wasun Chantratita; Ekawat Pasomsub; Faculty of Medicine, Ramathibodi Hospital, Mahidol University; Division for Virologyin detecting such mutations, but the protocol still requires manual and time-consuming working steps. Sentosa® SQ HIV-1 Genotyping Assay based on deep sequencing provides an integrated workflow, a robotic liquid handling system for automatic RNA extraction... and library preparation, an Ion-torrent-based deep sequencing system and software for data analysis. Thus, we evaluated the performance of deep sequencing assay and compared the results with those from Sanger sequencing for determining DRMs of 120 previouslyItem Metadata only Studies of non-tuberculous mycobacteria in AIDS patients : 16S rRNA gene sequence, phenotype and drug susceptibility(Mahidol University. Mahidol University Library and Knowledge Center, 2003) Naiyanawan Prasong; Suporn FoongladdaItem Metadata only Nucleotide sequence analysis and strain improvement for high expression of penicillin G acylase gene from Bacillus megaterium UN-1(Mahidol University. Mahidol University Library and Knowledge Center, 2024) Kanchana Weeradechapon; Watanalai Panbangred; Vithaya Meevootisom; Chuenchit Boonchirdmegaterium UN-1, a high penicillin G acylase producer mutant of Bacillus megaterium ATCC 14945. Complete nucleotide sequence of pac gene was determined and found that the gene contained an open reading frame encoding for 802 amino acids with MW of about 92...,000 Da. This polypeptide consisted of a 26 amino acid signal peptide. The putative -35 and -10 sequences were TTGAAT and TATAAG, respectively. Comparison of pac nucleotide sequence to that from Arthrobacter viscosus revealed 97% homology. Results from SDSItem Metadata only Analysis of the nucleocapsid gene of hepatitis C virus isolated in Thailand(Mahidol University. Mahidol University Library and Knowledge Center, 2024) Rojana Kunkitti; Sirirurg Songsivilai; Tararaj Dharakul; Sunee KorbsrisatePublication Metadata only Meta-iavp: A sequence-based meta-predictor for improving the prediction of antiviral peptides using effective feature representation(2019-11-02) Nalini Schaduangrat; Chanin Nantasenamat; Virapong Prachayasittikul; Watshara Shoombuatong; Mahidol University(AVPs) has become an influential antiviral agent due to their extraordinary advantages. With the avalanche of newly-found peptide sequences in the post-genomic era, there is a great demand to develop a sequence-based predictor for timely identifying AVPs... as this information is very useful for both basic research and drug development. In this study, we propose a novel sequence-based meta-predictor with an effective feature representation, called Meta-iAVP, for the accurate prediction of AVPs from given peptideItem Metadata only TROLLOPE: A novel sequence-based stacked approach for the accelerated discovery of linear T-cell epitopes of hepatitis C virus(2023-01-01) Charoenkwan P.; Waramit S.; Chumnanpuen P.; Schaduangrat N.; Shoombuatong W.; Mahidol University. In this study, a novel sequence-based stacked approach, termed TROLLOPE, is proposed to accurately identify TCE-HCVs from sequence information. Specifically, we employed 12 different sequence-based feature descriptors from heterogeneous perspectives..., such as physicochemical properties, composition-transition-distribution information and composition information. These descriptors were used in cooperation with 12 popular machine learning (ML) algorithms to create 144 base-classifiers. To maximize the utilityItem Metadata only GPApred: The first computational predictor for identifying proteins with LPXTG-like motif using sequence-based optimal features(2023-02-28) Malik A.; Shoombuatong W.; Kim C.B.; Manavalan B.; Mahidol Universitythe first machine learning-based predictor called GPApred, which can identify LPXTG-like proteins from their primary sequences. Using a newly constructed benchmark dataset, we explored different classifiers and five feature encodings and their hybrids... (GPApred) was selected based on consistency during cross-validation and independent assessment. GPApred can be an effective tool for predicting LPXTG-like sequences and can be further employed for functional characterization or drug targeting. AvailabilityPublication Open Access Comparison of two multilocus sequence based genotyping schemes for Leptospira species.(2011-11) Ahmed, Ahmed; Janjira Thaipadungpanit; จันทร์จิรา ไทยผดุงพานิช; Siriphan Boonsilp; ศิริพรรณ บุญศิลป์; Vanaporn Wuthiekanun; วรรณพร วุฒิเอกอนันต์; Nalam, Kishore; Spratt, Brian G.; Aanensen, David M.; Smythe, Lee D.; Ahmed, Niyaz; Feil, Edward J.; Hartskeer, Rudy A.; Peacock, Sharon J.; Ahmed, Ahmed; Mahidol University. Faculty of Tropical Medicine. Department of Microbiology and Immunology.; Mahidol University. Faculty of Tropical Medicine. Mahidol-Oxford Tropical Medicine Research Unit.; Mahidol Univeristy. Faculty of Medicine Siriraj Hospital. Medical Proteomics Unit, Office for Research and Development.BACKGROUND: Several sequence based genotyping schemes have been developed for Leptospira spp. The objective of this study was to genotype a collection of clinical and reference isolates using the two most commonly used schemes and compare...L. Overall nucleotide diversity (based on concatenated sequence) was 3.6% and 2.3% for 7L and 6L, respectively. The D value (discriminatory ability) of 7L and 6L were comparable, i.e. 92.0 (95% CI 87.5-96.5) vs. 93.5 (95% CI 88.6-98.4). The dN/d