Q32DT2 AF NFT

Probable 4-deoxy-4-formamido-L-arabinose-phosphoundecaprenol deformylase ArnD

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiacaorhnnaulqcux6mojjfe6yafgmkv3gw74wdl76marfefcqkzkq/metadata.json
IPFS of structure file: 
bafybeidlhas6gopn4w5cqzvcc5zr6vuy334zrnsjwqxnm6pv7s7kr3wnzu/AF-Q32DT2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5e58272ea25a05e06901A2eAe9f63939b344e0c6
First NFT owner address (bech32): 
genesis1tevzwt4ztgz7q6gp5t4wna3e8xe5fcxxnzlgjh
Current NFT ID #23902 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
23902
Accession (UniProt):
Q32DT2
Name::
Probable 4-deoxy-4-formamido-L-arabinose-phosphoundecaprenol deformylase ArnD
Experimental Method:
Predicted structure
Sequence source:
Shigella dysenteriae serotype 1 (strain Sd197)

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q32DT2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q32DT2|ARND_SHIDS Probable 4-deoxy-4-formamido-L-arabinose-phosphoundecaprenol deformylase ArnD OS=Shigella dysenteriae serotype 1 (strain Sd197) OX=300267 GN=arnD PE=3 SV=1 MTKVGLRIDVDTFRGTREGVPRLLEILSKHNIQASIFFSVSPDNMGRHLWRLVKPQFLWKMLRSNAASLYGWDILLAGTAWLGKEIGHANADIIREAAKHHEVGLHAWDHHAWQARSGNWDRQTMIDDIARGLRTLEEIIGQPVTCSAAAGWRADQQVIEAKEAFHLRYNSDCRGAMPFRPLLESGNPGTAQIPVTLPTWDEVIGRDVKAEDFNGWLLNRILRDKGTPVYTIHAEVEGCAYQHNFVALLKRAAQEGVTFCPLSELLSETLPLGQVVRGNIAGREGWLGCQQIAGSR