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(You can also access your files after the search at : http://fermi.utmb.edu/tmp/CrossReact111.html )


Welcome to Prediction of allergen cross reactivity server.

Please wait, this page will load automatically . Your project SDCR.1788 started on: Wed May 1 21:51:45 2024

Please note: Sequence identity is based on user defined PDB file and 3D allergen structures in SDAP database.

Avergae time for project completion is about 90 Seconds. Searching for potential cross-reactive allergens ... p8A8

Cross-Reactive allergen predicted with high confidence using : a) high PCC and b) high sequence indentity:

Correlation Sequence Patch Center Total residue View Molecule Compare
Allergen Name PCC Identity Residue No Results
Api_m_11.0201
0.94 100 21 423 View PDB file
Api_m_11.0201
0.86 100 20 423 View PDB file
Api_m_11.0201
0.79 100 22 423 View PDB file
Api_m_11.0201
0.70 100 17 423 View PDB file
Api_m_11.0101
0.70 62.7 50 416 View PDB file
Api_m_11.0101
0.68 62.7 286 416 View PDB file
Api_m_11.0101
0.68 62.7 51 416 View PDB file
Api_m_11.0101
0.66 62.7 53 416 View PDB file
Api_m_11.0101
0.64 62.7 402 416 View PDB file
Api_m_11.0101
0.63 62.7 49 416 View PDB file
Api_m_11.0201
0.62 100 19 423 View PDB file
Api_m_11.0201
0.61 100 257 423 View PDB file
Api_m_11.0201
0.61 100 18 423 View PDB file
Api_m_11.0101
0.61 62.7 285 416 View PDB file
Api_m_11.0101
0.61 62.7 52 416 View PDB file
Api_m_11.0201
0.60 100 53 423 View PDB file
Api_m_11.0101
0.60 62.7 291 416 View PDB file
Api_m_11.0101
0.60 62.7 54 416 View PDB file
Api_m_11.0201
0.58 100 380 423 View PDB file
Api_m_11.0101
0.58 62.7 288 416 View PDB file
Api_m_11.0101
0.57 62.7 284 416 View PDB file
Api_m_11.0101
0.57 62.7 48 416 View PDB file
Api_m_11.0201
0.55 100 56 423 View PDB file
Api_m_11.0201
0.55 100 16 423 View PDB file
Api_m_11.0101
0.55 62.7 294 416 View PDB file
Api_m_11.0101
0.55 62.7 47 416 View PDB file
Api_m_11.0101
0.54 62.7 293 416 View PDB file
Api_m_11.0101
0.54 62.7 283 416 View PDB file
Api_m_11.0201
0.53 100 52 423 View PDB file
Api_m_11.0101
0.53 62.7 230 416 View PDB file
Api_m_11.0201
0.52 100 384 423 View PDB file
Api_m_11.0101
0.52 62.7 401 416 View PDB file
Api_m_11.0101
0.52 62.7 292 416 View PDB file
Api_m_11.0101
0.52 62.7 290 416 View PDB file
Api_m_11.0201
0.51 100 306 423 View PDB file
Api_m_11.0201
0.51 100 287 423 View PDB file
Api_m_11.0201
0.51 100 28 423 View PDB file
Api_m_11.0201
0.51 100 15 423 View PDB file
Api_m_11.0101
0.51 62.7 231 416 View PDB file
Api_m_11.0101
0.51 62.7 103 416 View PDB file
Api_m_11.0201
0.50 100 298 423 View PDB file
Api_m_11.0201
0.50 100 55 423 View PDB file
Api_m_11.0101
0.50 62.7 287 416 View PDB file

Cross-Reactive allergen predicted with medium confidence using : a) high PCC and b) moderate sequence indentity:

Correlation Sequence Patch Center Total residue View Molecule Compare
Allergen Name PCC Identity Residue No Results
Ani_s_4.0101
0.61 34.1 73 115 View PDB file
Ani_s_4.0101
0.60 34.1 47 115 View PDB file
Ani_s_4.0101
0.57 34.1 51 115 View PDB file
Ani_s_4.0101
0.56 34.1 50 115 View PDB file
Ani_s_4.0101
0.55 34.1 46 115 View PDB file
Ani_s_4.0101
0.54 34.1 89 115 View PDB file
Ani_s_4.0101
0.53 34.1 115 115 View PDB file
Ani_s_4.0101
0.52 34.1 48 115 View PDB file
Ani_s_4.0101
0.51 34.1 88 115 View PDB file

The project was successfully completed. Thank you for using CrossReact: Webserver to predict crossreactivity between allergenic proteins.

Please cite Cross-React method and website http://curie.utmb.edu/ for your future publications. In case of error contact Surendra S Negi ssnegiATutmb.edu .

Cross-React method is developed and designed by Surendra Negi. Please cite our publication in your work (Negi SS and Braun W, Cross-React: a new structural bioinformatics method for predicting allergen cross-reactivity. Bioinformatics 33 (7): 1014-1020, 2017). The Table format is made possible with the help of chives tables by chives

The project started on: Wed May 1 21:51:45 2024 , current time is: Wed May 1 21:51:54 2024 . For more information visit http://curie.utmb.edu/Cross-React.html


Thanks for using SDAP Database