Signal Peptides Structure Modeling Services
Signal peptides are short sequences of amino acids, typically between 15 and 30 residues long, found at the N-terminal of proteins. They serve a critical function in directing the transport of proteins throughout the cell. CD ComputaBio offers a comprehensive suite of services dedicated to supporting your signal peptides discovery initiatives.
Introduction to Signal Peptides
Signal peptides play a crucial role in directing proteins to their appropriate locations within the cell, typically facilitating their translocation to the cellular membrane. In prokaryotic organisms, these signal peptides guide newly synthesized proteins to the SecYEG protein-conducting channel located in the plasma membrane. Moreover, signal peptides present a promising target against viruses. Specifically, signal peptides that possess a glycine residue at the penultimate N-terminus are targeted by N-myristoyltransferase (NMT) inhibitors.
Fig 1. Region structures of the five SP types. (Teufel F, et al., 2022)
Approaches to Signal Peptides Structure Modeling
Homology Modeling Method
In signal peptide modeling, homology modeling can provide valuable insights into the structural features and dynamics of these peptides, aiding in understanding their interactions with target molecules.
Fold Recognition Method
Fold recognition deals with finding similar peptide structures in the PDB that aren't easily identified.
Machine Learning Method
By training machine learning models on known signal peptide sequences and structures, we can predict novel signal peptides and their properties, accelerating drug discovery efforts.
Our Services
CD ComputaBio offers a wide range of services tailored to meet the diverse needs of researchers and organizations working with signal peptides. Our structure modeling services combine computational methods with years of expertise, providing clients with in-depth structural insights.
Workflow of Signal Peptides Structure Modeling Services
Sequence Retrieval and Analysis - The modeling process begins with obtaining the amino acid sequence of the signal peptide of interest.
Secondary Structure Prediction - Once the signal peptide sequence is confirmed, we predict its secondary structure using computational methods.
Reporting - A detailed report outlining our findings, methodologies, and recommendations is provided, along with ongoing support for data interpretation and integration with experimental results.
Advantages of Our Services
- We have a highly trained and seasoned team of bioinformaticians and computational biologists.
- Our comprehensive and rigorous analysis guarantees highly accurate results.
- We place the utmost importance on maintaining the confidentiality of our clients' data.
Signal peptides play a pivotal role in cellular processes and have critical implications in drug discovery and therapeutic development. At CD ComputaBio, we are committed to delivering top-tier signal peptides structure modeling services that empower researchers to unlock the potential of these essential biomolecules. If you are interested in our services or have any other questions, please feel free to contact us.
Reference:
- Teufel F, Almagro Armenteros J J, Johansen A R, et al. SignalP 6.0 predicts all five types of signal peptides using protein language models[J]. Nature biotechnology, 2022, 40(7): 1023-1025.
* For Research Use Only.
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