CD Formulation offers specialized nucleic acid drug sequence confirmation services, dedicated to ensuring clients receive high-quality and reliable nucleic acid sequence verification. Our services integrate advanced technologies and stringent quality control to support scientific research and application development, providing precise support in nucleic acid drug research.
Nucleic acid sequence analysis involves identifying genes within a nucleic sequence, determining the location of these genes and functional sites, and marking known sequence patterns. Confirming a DNA sequence as a gene typically requires multiple lines of evidence. Genes and regulatory regions are unlikely to appear frequently in repetitive regions. If a hypothetical product of a DNA segment shows high sequence similarity to a known protein or gene product, it likely belongs to an exon fragment. The statistical regularity in a DNA sequence (known as codon preference) is a strong indicator of a protein-coding region.
Fig.1 Nucleic acid drug sequence confirmation services. (CD Formulation)
Developing nucleic acid drugs necessitates stable analysis methods and user-friendly data analysis to achieve accurate characterization. Advanced analytical methods and supporting software for automation are essential.
Items | Descriptions |
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Repeat Sequence Analysis | For eukaryotic nucleic acid sequences, identifying and removing simple and abundant repeat sequences is crucial to prevent disruption in predictive programs, especially those involving database searches. |
Database Search | Searching for sequences similar to an unknown nucleic acid sequence in a database is an effective predictive tool. However, conclusions based on similarity analysis may propagate errors; a certain percentage of sequences struggle to find suitable homologs in databases. For EST sequences, sequence search proves highly effective. |
Coding Region Statistical Analysis | Empirical observations indicate unequal codon usage in DNA, with some codons appearing more frequently. This codon bias creates discernible statistical specificity in coding regions. Techniques include: dicodon counting, nucleotide periodicity analysis, homogeneity/complexity analysis, and open reading frame analysis. |
Promoter Analysis | Recognizing promoters is vital for gene identification. Some programs describe promoter sequence characteristics based on experimental transcription factor binding data, though success varies with false negatives and positives. |
With the development of synthetic oligonucleotides, reliable and stable analysis methods, along with user-friendly data workflows, are necessary for characterization. Explore comprehensive workflows, validated methods, and abundant resources to advance analysis across various oligonucleotide workflows.
Fig.2 Flow chart of nucleic acid drug sequence confirmation analysis. (CD Formulation)
Extract nucleic acids from biological samples, involving the removal of proteins and other impurities for high-quality DNA or RNA.
Amplify specific nucleic acid fragments using techniques like PCR for detection sensitivity and accuracy.
Construct sequencing libraries from amplified nucleic acid fragments and add sequencing labels for subsequent analysis.
Apply high-throughput sequencing technologies to obtain raw sequence data.
Bioinformatics analysis of sequencing data confirms nucleic acid sequences against existing databases or functional predictions.
Technology: Analysis of nucleic acid sequences utilizes analytical technology platforms
Journal: Science China Chemistry
IF: 5.891
Published: 2021
Results:
Nucleic acids are essential biopolymers made up of nucleotides, crucial for storing, encoding, transmitting, and expressing genetic data, and they have a vital role in numerous cellular processes and diseases. Techniques in nucleic acid analysis and nucleic acid-based examinations have become indispensable in fields such as biological research, clinical diagnostics, environmental monitoring, food safety assessments, and forensic investigations. The past decades have seen significant advancements and technological breakthroughs in nucleic acid analysis. This overview will highlight methodologies for nucleic acid analysis, analytical equipment, as well as the diverse applications of these analyses.
Fig.3 Representative examples of non-nucleic acid target analysis. (Zhao Y, et al., 2021)
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