Logo Cheminformatics Tool for Probabilistic Identification of Carbohydrates
(CTPIC)
v 1.1 (Spring 2020)

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Process a structure file

Publication files:

Submission ID: APW
File name: alatis_output_compound.sdf

Formula: C10H14Mg1N6O9P2
Compound mass: 448.50499999999994
Compound with ALATIS labels (download):

Download outputs in JSON format here.


Probabilities of the best carbohydrate fragment:

  • Fragment probability: 1.00
  • Compound probability: 0.36


List of identified carbohydrate fragments:

  • C5H8N1O4
    Fragment probability: 1.00
    Fragment mass: 146.121
    Fragment main chain atoms: [6, 7, 10, 24, 4]
    Fragment all atoms: [6, 33, 17, 40, 7, 34, 18, 41, 10, 35, 16, 24, 4, 32, 1, 28, 29, 23]



Most similar ligands:

Ligand Expo IDPDB protein complex ID
APW2DEJ
AN26GR3
5JZJ
5C3Y
5H9B
5KQ8
4YHJ
4U7O
4BWP
3IED
3BA6
6FH2
MAP1QPG
2DEI
SAP2ZRJ
2W5B
2IUT
2QF7
3DQW
1H7U
2ZRA
2GA9
2ZRE
1UBF
1MO5
1AUX
1ISG
2PMI
3QUS
1GJV
1H74
1XP8
2XJ9
1MO4
2ODW
AGS6DJV
1KP8
6RN3
5YWA
6S6V
5C18
3E76
5OFO
4KRC
5VYA
2YNJ
1UBF
5VJH
6DJU
6OAY
5C1B
6HRC
1XXH
6AHF
5C1A
4KFT
3ZEU
6RN4
5VFP
6F0X
2ODW
6SL0
4BWK
6QS6
1SX3
6OAX
5OEA
2XJ9
1SXJ
3T2S
5YW9
3EUK
6SKY
6E11
5VY9
4DPT
5V8F
4TLC
4Y12
4TL8
6QS8
6CHS
5YW8
4J9V
3KFK
3ORI
4TLD
3WRX
5YKF
6SL1
1XPR
1AUX
4TLB
6E10
1XPO
5OG1
3HU3
4DPW
1ISG
6JDL
6QV1
5VFS
1MRU
5NZZ
5FTN
3ORL
6OF2
5Z69
6T8B
5FTM
5YKG
4TL9
6QS7
4KLN
1CJK
4A2B
1KJJ
2IUT
6J7E
6QV2
5IT5
6QS4
5A2W
5H68
3EIH
3ORK
4NAH
3WRY
1H7U
5DNY
5ZR1
5C03
4S0F
1MMG
6JB1
5VFQ
5UDB
2G2F
1NJF
3ORM
4DPU
2ZRJ
6RN2
4CRS
2W5B
1XP8
3HU1
1H74
2OZE
4BWX
5ZQM
6Q0J
3HU2
3C4J
4TLE
6CVL
3EQD
5GRB
5DAC
6HV9
5I9V
1MO5
2ZRE
5DA9
4JSP
1XPU
5VFR
5O6D
3QUS
5A30
6OF3
1NLY
6Q0T
3DQW
6QUZ
6SKZ
3ORP
1ZUN
5GMD
4I81
1GJV
4NAU
1KWO
1BIF
4O1G
3W8Q
4UX3
2GA9
3EUJ
4XCL
1OYY
1W1W
4KO8
2PMI
1K6M
3FZP
3AV0
2QF7
6OG1
5O0Y
3ORO
5ZT1
6SDX
2ZRA
2R8F
4LAC
5F3W
4DN5
5XG3
6JDI
1MO4
6BS4
6NYB
5MTV
5L6W
1QHY
3VEY
3MWY
4IEE
4UYA
5YW7
4RF9
5EXS
3ORT
3EQC

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Citation:

  • Hesam Dashti, William M. Westler, Jonathan R. Wedell, Olga V. Demler, Hamid R. Eghbalnia, John L. Markley & Samia Mora, Probabilistic identification of saccharide moieties in biomolecules and their protein complexes, Scientific Data volume 7, Article number: 210 (2020), https://doi.org/10.1038/s41597-020-0547-y, https://www.nature.com/articles/s41597-020-0547-y

Disclaimer:

  • The custom source code, developed using Python3 in the Linux environment. This work is copyrighted under the terms of GPL, and the results are released under CC0 1.0 Universal of the Open Science Framework. The web-service and the source codes are provided on an “as is” basis without warranty of any kind, either expressed or implied. Any usage of the web-server, or modification and application of the source codes are free for academic use when CTPIC publications are cited.
  • The NetwrokX library is used in the CTPIC source codes.
  • The Open Babel software package is used in the CTPIC source codes.

Contact:

For any question or concern please contact Hesam Dashti (hdashti@bwh.harvard.edu).