Cargando…

In silico screening for candidate chassis strains of free fatty acid-producing cyanobacteria

BACKGROUND: Finding a source from which high-energy-density biofuels can be derived at an industrial scale has become an urgent challenge for renewable energy production. Some microorganisms can produce free fatty acids (FFA) as precursors towards such high-energy-density biofuels. In particular, ph...

Descripción completa

Detalles Bibliográficos
Autores principales:	Motwalli, Olaa, Essack, Magbubah, Jankovic, Boris R., Ji, Boyang, Liu, Xinyao, Ansari, Hifzur Rahman, Hoehndorf, Robert, Gao, Xin, Arold, Stefan T., Mineta, Katsuhiko, Archer, John A. C., Gojobori, Takashi, Mijakovic, Ivan, Bajic, Vladimir B.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2017
Materias:	Methodology Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5217662/ https://www.ncbi.nlm.nih.gov/pubmed/28056772 http://dx.doi.org/10.1186/s12864-016-3389-4

Ejemplares similares

BioPS: System for screening and assessment of biofuel-production potential of cyanobacteria
por: Motwalli, Olaa, et al.
Publicado: (2018)

In silico exploration of Red Sea Bacillus genomes for natural product biosynthetic gene clusters
por: Othoum, Ghofran, et al.
Publicado: (2018)

Building a bio-based industry in the Middle East through harnessing the potential of the Red Sea biodiversity
por: Nielsen, Jens, et al.
Publicado: (2017)

DESM: portal for microbial knowledge exploration systems
por: Salhi, Adil, et al.
Publicado: (2016)

A novel method for improved accuracy of transcription factor binding site prediction
por: Khamis, Abdullah M, et al.
Publicado: (2018)

A deep learning model predicts the presence of diverse cancer types using circulating tumor cells
por: Albaradei, Somayah, et al.
Publicado: (2023)

Atherosclerosis Linked to Aberrant Amino Acid Metabolism and Immunosuppressive Amino Acid Catabolizing Enzymes
por: Zaric, Bozidarka L., et al.
Publicado: (2020)

Chemical Compounds Toxic to Invertebrates Isolated from Marine Cyanobacteria of Potential Relevance to the Agricultural Industry
por: Essack, Magbubah, et al.
Publicado: (2014)

DES-Amyloidoses “Amyloidoses through the looking-glass”: A knowledgebase developed for exploring and linking information related to human amyloid-related diseases
por: Bajic, Vladan P., et al.
Publicado: (2022)

FARNA: knowledgebase of inferred functions of non-coding RNA transcripts
por: Alam, Tanvir, et al.
Publicado: (2017)

Molecular basis for drug repurposing to study the interface of the S protein in SARS-CoV-2 and human ACE2 through docking, characterization, and molecular dynamics for natural drug candidates
por: Alazmi, Meshari, et al.
Publicado: (2020)

Cyanobacteria as Chassis for Industrial Biotechnology: Progress and Prospects
por: Al-Haj, Lamya, et al.
Publicado: (2016)

Mining biosynthetic gene clusters in Virgibacillus genomes
por: Othoum, Ghofran, et al.
Publicado: (2019)

Comparative genomics study reveals Red Sea Bacillus with characteristics associated with potential microbial cell factories (MCFs)
por: Othoum, G., et al.
Publicado: (2019)

Progress and challenges in engineering cyanobacteria as chassis for light‐driven biotechnology
por: Hitchcock, Andrew, et al.
Publicado: (2019)

Integrated Metabolic Modeling, Culturing, and Transcriptomics Explain Enhanced Virulence of Vibrio cholerae during Coinfection with Enterotoxigenic Escherichia coli
por: Abdel-Haleem, Alyaa M., et al.
Publicado: (2020)

Splice2Deep: An ensemble of deep convolutional neural networks for improved splice site prediction in genomic DNA
por: Albaradei, Somayah, et al.
Publicado: (2020)

Recently Confirmed Apoptosis-Inducing Lead Compounds Isolated from Marine Sponge of Potential Relevance in Cancer Treatment
por: Essack, Magbubah, et al.
Publicado: (2011)

Conotoxins that Confer Therapeutic Possibilities
por: Essack, Magbubah, et al.
Publicado: (2012)

Analysis of natural compounds against the activity of SARS-CoV-2 NSP15 protein towards an effective treatment against COVID-19: a theoretical and computational biology approach
por: Motwalli, Olaa, et al.
Publicado: (2021)

Heterologous Production in the Synechocystis Chassis Suggests the Biosynthetic Pathway of Astaxanthin in Cyanobacteria
por: Liang, Hanyu, et al.
Publicado: (2023)

Type 2 Diabetes Mellitus and its comorbidity, Alzheimer’s disease: Identifying critical microRNA using machine learning
por: Alamro, Hind, et al.
Publicado: (2023)

DTi2Vec: Drug–target interaction prediction using network embedding and ensemble learning
por: Thafar, Maha A., et al.
Publicado: (2021)

In silico analysis to identify vaccine candidates common to multiple serotypes of Shigella and evaluation of their immunogenicity
por: Pahil, Sapna, et al.
Publicado: (2017)

The X Files: “The Mystery of X Chromosome Instability in Alzheimer’s Disease”
por: Bajic, Vladan P., et al.
Publicado: (2020)

DTiGEMS+: drug–target interaction prediction using graph embedding, graph mining, and similarity-based techniques
por: Thafar, Maha A., et al.
Publicado: (2020)

Information Exploration System for Sickle Cell Disease and Repurposing of Hydroxyfasudil
por: Essack, Magbubah, et al.
Publicado: (2013)

Challenges and Opportunities of Airborne Metagenomics
por: Behzad, Hayedeh, et al.
Publicado: (2015)

Global Ramifications of Dust and Sandstorm Microbiota
por: Behzad, Hayedeh, et al.
Publicado: (2018)

Evolution of memory system‐related genes
por: Bajaffer, Amal, et al.
Publicado: (2021)

Network analysis of microRNAs and their regulation in human ovarian cancer
por: Schmeier, Sebastian, et al.
Publicado: (2011)

DEOP: a database on osmoprotectants and associated pathways
por: Bougouffa, Salim, et al.
Publicado: (2014)

TcoF-DB v2: update of the database of human and mouse transcription co-factors and transcription factor interactions
por: Schmeier, Sebastian, et al.
Publicado: (2017)

Chassis multiplexeur
por: Cros, B
Publicado: (1978)

The Virtual Chassis - 11(th) chassis.tech plus 2020
por: Reichenbach, Michael
Publicado: (2020)

MetaCancer: A deep learning-based pan-cancer metastasis prediction model developed using multi-omics data
por: Albaradei, Somayah, et al.
Publicado: (2021)

Predicting Bone Metastasis Using Gene Expression-Based Machine Learning Models
por: Albaradei, Somayah, et al.
Publicado: (2021)

Affinity2Vec: drug-target binding affinity prediction through representation learning, graph mining, and machine learning
por: Thafar, Maha A., et al.
Publicado: (2022)

Exploiting machine learning models to identify novel Alzheimer’s disease biomarkers and potential targets
por: Alamro, Hind, et al.
Publicado: (2023)

Distinct profiling of antimicrobial peptide families
por: Khamis, Abdullah M., et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_6q8jumad0aldjv2kodjo4vp1dp