| Technology Description | Prediction of disulfide connectivity in proteins by correlated mutation analysis |
| Category | Technology |
| PRC | Einstein Biodefense Proteomic Research Center |
| PubMed ID | 18203772 |
| Author | Rotem Rubinstein and Andras Fiser |
| Publication Description | A method for predicting disulfide bond connectivity in proteins by correlated mutations analysis |
| Methodology | Prediction of disulfide bond connectivity facilitates structural and functional annotation of proteins. The group developed a method that analyzes correlated mutation patterns in multiple sequence alignments in order to predict disulfide bond connectivity |
