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To provide biological high-end technical services for scientific workers in the field of basic research
Protein Interaction and Binding Site Prediction Analysis
Product Description
Nanjing Pronet Biotech has independently developed an intelligent system for protein interaction confidence scoring, used to measure the reliability of interactions between proteins and nucleic acids. The system studies the confidence of these interactions and provides confidence scores as a reference for follow-up experiments.
Technical Advantages
1. Zero Experimental Operations and Reagent Costs: Fully automated service eliminates cumbersome experimental procedures and costly reagent expenditures.
2. Rapid Candidate Gene Screening: Quickly obtain protein interaction maps, eliminating long wait times.
3. Reliable Confidence Analysis: This significantly narrows down the range for validating interacting proteins or genes, helping you avoid unnecessary work.
4. Journal-Compliant Images: Provides high-resolution 3D protein structure analysis images that meet the formatting requirements of various journals.
5. Worry-Free Follow-Up Experiments: Option to provide one-on-one yeast validation experimental services for further validation and quantitative analysis of screening results, enhancing reliability and accuracy.
Application Scenarios
1. Prediction of protein-antibody affinity
2. 3D interaction models and binding site analysis of protein-protein interactions
3. Binding affinity analysis of proteins and peptides
4. Binding affinity analysis of enzymes and protein substrates
5. Analysis of interactions among three proteins
6. Analysis of protein-nucleic acid interactions
Service Contents
Service Content |
Period(Working days) |
Delivery material |
Perform protein interaction confidence analysis based on the sequences provided by the client |
5 days |
Electronic analysis results |
Downstream Experiments Case Report
Downstream Experiments for Protein-Protein Interaction Binding Site Analysis
Identify the potential binding site amino acid sequences based on the nucleic acid sequence of the coding protein, mutate each site to alanine, and perform yeast one-on-one verification.
Figure: Yeast one-on-one verification of binding sites.
References
Yan Y, Tao H, He J, Huang S-Y.* The HDOCK server for integrated protein-protein docking. Nature Protocols, 2020; doi: https://doi.org/10.1038/s41596-020-0312-x.
Yan Y, Zhang D, Zhou P, Li B, Huang S-Y. HDOCK: a web server for protein-protein and protein-DNA/RNA docking based on a hybrid strategy. Nucleic Acids Res. 2017;45(W1):W365-W373.
Yan Y, Wen Z, Wang X, Huang S-Y. Addressing recent docking challenges: A hybrid strategy to integrate template-based and free protein-protein docking. Proteins 2017;85:497-512.
Huang S-Y, Zou X. A knowledge-based scoring function for protein-RNA interactions derived from a statistical mechanics-based iterative method. Nucleic Acids Res. 2014;42:e55.
Masahito Ohue, Takehiro Shimoda, Shuji Suzuki, Yuri Matsuzaki, Takashi Ishida, Yutaka Akiyama. MEGADOCK 4.0: an ultra-high-performance protein-protein docking software for heterogeneous supercomputers,Bioinformatics, 30(22): 3281-3283, 2014.
Takehiro Shimoda, Shuji Suzuki, Masahito Ohue, Takashi Ishida, Yutaka Akiyama. Protein-Protein Docking on Hardware Accelerators: Comparison of GPU and MIC Architectures, BMC Systems Biology, 9(Suppl 1): S6, 2015.
Services Workflow
Online Consultation
01
Solution Matching
02
Service Contract
03
One-Stop-Services
04
Project Report
05
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Contact Us
Tel: +86 025-85205672
Email: info@pronetbio.com
Address: Building 3C, Nanjing Xianlin Zhigu,
Qixia District,Nanjing, Jiangsu, China, 210033
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