Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Asawin Meechai"'
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 15, Iss , Pp 340-350 (2017)
In cyanobacteria, the CO2-concentrating mechanism (CCM) is a vital biological process that provides effective photosynthetic CO2 fixation by elevating the CO2 level near the active site of Rubisco. This process enables the adaptation of cyanobacteria
Externí odkaz:
https://doaj.org/article/a65eb605079647fcbdb7886ae9b3a539
Autor:
Nattapat Isarankura Na Ayudhya, Kobkul Laoteng, Yuanda Song, Asawin Meechai, Wanwipa Vongsangnak
Publikováno v:
PeerJ, Vol 7, p e7015 (2019)
The genome-scale metabolic model of a lipid-overproducing strain of Mucor circinelloides WJ11 was developed. The model (iNI1159) contained 1,159 genes, 648 EC numbers, 1,537 metabolites, and 1,355 metabolic reactions, which were localized in differen
Externí odkaz:
https://doaj.org/article/3c424bda41194a51b89dd45cd06fa393
Autor:
Preecha Patumcharoenpol, Narumol Doungpan, Asawin Meechai, Bairong Shen, Jonathan H. Chan, Wanwipa Vongsangnak
Publikováno v:
PeerJ, Vol 4, p e1811 (2016)
Text mining (TM) in the field of biology is fast becoming a routine analysis for the extraction and curation of biological entities (e.g., genes, proteins, simple chemicals) as well as their relationships. Due to the wide applicability of TM in situa
Externí odkaz:
https://doaj.org/article/4f9849eab4454018be5cec5335c7024a
Autor:
Amornpan Klanchui, Sudarat Dulsawat, Kullapat Chaloemngam, Supapon Cheevadhanarak, Peerada Prommeenate, Asawin Meechai
Publikováno v:
Metabolites, Vol 8, Iss 4, p 84 (2018)
Glycogen-enriched biomass of Arthrospira platensis has increasingly gained attention as a source for bioethanol production. To study the metabolic capabilities of glycogen production in A. platensis C1, a genome-scale metabolic model (GEM) could be a
Externí odkaz:
https://doaj.org/article/fdcf249f81b143f8895e24850be0c9ed
Autor:
Jittrawan Thaiprasit, Boonserm Kaewkamnerdpong, Dujduan Waraho-Zhmayev, Supapon Cheevadhanarak, Asawin Meechai
Publikováno v:
Entropy, Vol 18, Iss 3, p 83 (2016)
RNA-RNA interactions play a crucial role in gene regulation in living organisms. They have gained increasing interest in the field of synthetic biology because of their potential applications in medicine and biotechnology. However, few novel regulato
Externí odkaz:
https://doaj.org/article/31294a404a6e4bc7b6316b00cdf4f441
Autor:
Amornpan Klanchui, Tayvich Vorapreeda, Wanwipa Vongsangnak, Chiraphan Kannapho, Supapon Cheevadhanarak, Asawin Meechai
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 3, Iss 4, p e201210015 (2012)
Arthrospira are attractive candidates to serve as cell factories for production of many valuable compounds useful for food, feed, fuel and pharmaceutical industries. In connection with the development of sustainable bioprocessing, it is a challenge t
Externí odkaz:
https://doaj.org/article/6dcc83aa103c4ee787cecddc26ab5ab8
Publikováno v:
PLoS ONE, Vol 7, Iss 1, p e30232 (2012)
Boolean-based method, despite of its simplicity, would be a more attractive approach for inferring a network from high-throughput expression data if its effectiveness has not been limited by high false positive prediction. In this study, we explored
Externí odkaz:
https://doaj.org/article/ca0fb402461e4d4199d1e68d2432a445
Autor:
Malinee Suksangpanomrung, Treenut Saithong, Saowalak Kalapanulak, Wanatsanan Siriwat, Porntip Chiewchankaset, Morakot Tanticharoen, Opas Boonseng, Asawin Meechai
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-15 (2019)
Scientific Reports
Scientific Reports
Analysis of metabolic flux was used for system level assessment of carbon partitioning in Kasetsart 50 (KU50) and Hanatee (HN) cassava cultivars to understand the metabolic routes for their distinct phenotypes. First, the constraint-based metabolic m
Publikováno v:
CSBio '20: Proceedings of the Eleventh International Conference on Computational Systems-Biology and Bioinformatics.
In recent years, the increasing availability of cancer RNA-seq datasets has provided unprecedented information and opportunities for the discovery of biomarkers for cancer. In this study, we tested our previously published Gene Sub-Network-based Feat
Publikováno v:
Recent Advances in Information and Communication Technology 2020 ISBN: 9783030440435
Gene Sub-Network-based Feature Selection (GSNFS) is an efficient method for handling case-control and multiclass studies for gene sub-network biomarker identification by an integrated analysis of gene expression, gene-set and network data. However, G
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c684cf3d884ecf91e300cfec3fe698d
https://doi.org/10.1007/978-3-030-44044-2_12
https://doi.org/10.1007/978-3-030-44044-2_12