Resources
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• Principle of SILAC-Based Co-IP-MS in Protein Interaction Analysis
Protein-protein interactions are critical components of cellular biological networks, playing essential roles in various biological processes. Investigating these interactions is fundamental for understanding cellular functions and elucidating disease mechanisms. The combination of SILAC (Stable Isotope Labeling by Amino acids in Cell culture) with immunoprecipitation (Co-IP) and mass spectrometry (MS) offers a precise and reliable approach for studying protein-protein interactions.
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• Mechanism of De Novo Antibody Sequencing
Antibody de novo sequencing (ADNS) is a method used to determine the amino acid sequence of antibodies, which plays a critical role in biomedical research and therapeutic antibody development. Given the widespread application of monoclonal antibodies (mAbs) in treating cancer, infectious diseases, and autoimmune disorders, accurately resolving antibody sequences is crucial for ensuring their efficacy and safety.
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• Workflow of De Novo Antibody Sequencing
Antibody de novo sequencing is an innovative technology that enables scientists to identify and characterize the amino acid sequences of unknown antibodies. This technique is of great significance in biomedical research and drug development.
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• Advantages and Disadvantages of De Novo Antibody Sequencing
De novo antibody sequencing has emerged as a pivotal technique in the field of biological research. This technology directly analyzes the amino acid sequences of antibodies, bypassing traditional genomic sequencing methods, and thus provides more direct and accurate data for antibody research and development.
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• Principle of De Novo Antibody Sequencing
Antibodies are essential molecules in the immune system that specifically bind to antigens, marking foreign substances for clearance by the immune system. With the extensive application of antibodies in both basic research and clinical settings, understanding their sequences and characteristics has become crucial. Antibody de novo sequencing is a technique used to determine antibody sequences without a reference sequence, directly obtaining the amino acid sequence of the antibody through mass spectrometry.
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• Mechanism of Protein Mutation Analysis
Proteins are essential molecules in biological systems, participating in nearly all cellular processes. Mutations, which are changes in DNA sequences, can alter the amino acid sequences of proteins, thus impacting their structure and function. Analyzing protein mutations is a fundamental aspect of biological research, involving understanding their generation, effects, and detection methods.
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• Application of Protein Mutation Analysis
Proteins are crucial molecules in living organisms that perform a wide array of functions, directly determining physiological states. Protein mutations, changes in the amino acid sequence of proteins, can impact protein function and subsequently affect biological processes. Hence, protein mutation analysis is pivotal in biological research, with extensive applications in disease research, drug development, and evolutionary biology.
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• Workflow of Protein Mutation Analysis
Protein mutation analysis is a crucial method for investigating the function, structure, and interactions of proteins. By substituting or deleting specific amino acids in a protein sequence, researchers can determine the impact of these variations on the protein's properties and biological functions.
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• Mechanism of De Novo Peptide Sequencing
Peptide sequencing is a critical technique for determining the order of amino acids in proteins or peptides. Unlike traditional methods that depend on known databases, De Novo peptide sequencing can independently deduce amino acid sequences directly through mass spectrometry techniques.
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• Principle of Protein Mutation Analysis
Proteins are the primary agents of biological activities, with their functional diversity and complexity arising from their highly specific three-dimensional structures and amino acid sequences. However, amino acid residues in protein sequences can mutate, potentially impacting protein structure and function. Protein mutation analysis is crucial for understanding disease mechanisms, developing novel therapies, and advancing protein engineering techniques.
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