A9WSI9 AF NFT

L-cysteine:1D-myo-inositol 2-amino-2-deoxy-alpha-D-glucopyranoside ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidtni73iz76wpubgqwx3gjoaixyuujltdyguxo3g3y5osucea4iwa/metadata.json
IPFS of structure file: 
bafybeierfjj2xfbu7ordsxrww672wleosz5tmqeqjax3jvfjzzrqgfzjrm/AF-A9WSI9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9F605311B7e26e76340423EfAfbE5e2EFc7A0b7C
First NFT owner address (bech32): 
genesis1nas9xydhufh8vdqyy0h6l0j79m785zmurgry0u
Current NFT ID #245258 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
245258
Accession (UniProt):
A9WSI9
Name::
L-cysteine:1D-myo-inositol 2-amino-2-deoxy-alpha-D-glucopyranoside ligase
Experimental Method:
Predicted structure
Sequence source:
Renibacterium salmoninarum (strain ATCC 33209 / DSM 20767 / JCM 11484 / NBRC 15589 / NCIMB 2235)

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 A9WSI9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9WSI9|MSHC_RENSM L-cysteine:1D-myo-inositol 2-amino-2-deoxy-alpha-D-glucopyranoside ligase OS=Renibacterium salmoninarum (strain ATCC 33209 / DSM 20767 / JCM 11484 / NBRC 15589 / NCIMB 2235) OX=288705 GN=mshC PE=3 SV=1 MKSWSTRPLPQLPGNIEAPQLFDSASKTLRALPVAADASLYVCGITPYDATHMGHAATYLAFDLLGRVWRDSGASVNYVQNVTDIDDPLLERADRDGVDWRELAESQIELFRADMTALNVIAPQQYIGAIEAIQWIVPAVEELIAEGFAYRMDSGDVYFDTVAASVKTPDSSNAGELGAWWLGQISGLSPEEMLPVFAERGGDPERDGKRNPLDPLLWRVERAGEPAWPGASLGDGRPGWHIECTVIARKFLPAPFSVQGGGSDLLFPHHEMGDGHAWALDHTPLAKHYAHAGMVGLDGEKMSKSRGNLVLVSALRAEGVDPMAVRLSILANHYRSDWSWTAELLERSKLRLAQWRAAMEHTSVGSAAQLVSEIRTALAADLDAPTALNAVDNWVGQKATTEHSALDAALASDAIEALLGVVL