Publikationsdatum:
2023-04-05
Beschreibung:
Various molecular techniques based on omics (transcriptomics, proteomics, genomics) and phylogenetics have been applied in biological sciences. Molecular dynamics and approaches evolved over time into various quantitative tools that allow researchers from multiple disciplines to design different studies. The molecular-based techniques can be comprehensive and systematic, as they allow identification, resolve genetic differences, molecular docking, and prediction models of ecological niches and taxonomic ranks. Investigating genomics, proteomics, and phylogenetic techniques utilize a novel class of DNA elements, such as microsatellites from mitochondria and chloroplast and retrotransposons, resulting in genetic variations using molecular data. In addition to this, the advantages and limitations of molecular approaches have been well studied and acknowledged. The combination of molecular phylogenetic and omics techniques and expression and pathways analysis may greatly increase our capacity to understand and develop new molecular mechanisms and stress responses in biological systems. Furthermore, these techniques offer extensive opportunities for researchers to develop targeted therapy approaches and disease diagnoses using molecular data. It is necessary to evaluate and explore how data from diverse molecular techniques can be applied to different biological studies. The study and applications of molecular approaches hold significant potential for advancing genomics, proteomics, and phylogenetic techniques in biological sciences.
Schlagwort(e):
autophagy-related protein
;
degradation
;
ubiquitin
;
proteasome
;
autophagy
;
Bacillus thuringiensis
;
Cry toxin
;
nematicidal activity
;
pore-formation
;
diabetes
;
vaccines
;
clinical trials
;
insulin
;
GLP
;
nitric oxide
;
antioxidants
;
metal-stress related transcripts
;
rice
;
Pb-stress
;
Aurisin A
;
beta-cyclodextrins
;
inclusion complex
;
lung cancer
;
ruxolitinib
;
JAK inhibitor
;
rheumatoid arthritis
;
molecular modeling
;
TOR
;
photosynthesis
;
cell growth
;
AZD8055
;
Auxenochlorella pyrenoidosa
;
ovarian cancer
;
somatic BRCA mutational status
;
digital pathology
;
machine learning
;
artificial intelligence
;
super-secondary structure
;
3β-corner
;
folding nuclei
;
structure stability
;
H Ferritin subunit
;
PRDX6
;
protein-protein interaction
;
seed-specific transcription factors
;
signaling pathways
;
seed size
;
seed development
;
juvenile idiopathic arthritis
;
transcriptome-wide association study
;
gene-based association analysis
;
enrichment analysis
;
gene regulatory network
;
computational cancer biology
;
precision medicine
;
oxaliplatin and capecitabine (XELOX)
;
data bank
;
AlphaFold 2.0
;
graph neural network
;
protein features
;
nasopharyngeal carcinoma
;
bioinformatics
;
genes
;
melon
;
CmSUN
;
IQ67 domain
;
expression analysis
;
overexpression phenotype
;
fruit shape regulation
;
protein interaction
;
smooth muscle titin
;
protein aggregates
;
amyloid aggregation
;
amyloids
;
cross-β
;
bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general
;
bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences
Sprache:
Englisch
Format:
application/octet-stream
