D6ZFG9 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: 
bafybeibo2eh4mo47pnbsqpbynabysfkytvcnjzt57n76d4xmifn5yeuyqm/metadata.json
IPFS of structure file: 
bafybeib5sbdait5dpebzzpf5ntg5azyfgsosmslwvlokz2vbuovrlbmqui/AF-D6ZFG9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x463D3c96D49524B3845B7a98482f112a94bcdf90
First NFT owner address (bech32): 
genesis1gc7ne9k5j5jt8pzm02vystc3922tehusn4ucem
Current NFT ID #245268 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
245268
Accession (UniProt):
D6ZFG9
Name::
L-cysteine:1D-myo-inositol 2-amino-2-deoxy-alpha-D-glucopyranoside ligase
Experimental Method:
Predicted structure
Sequence source:
Segniliparus rotundus (strain ATCC BAA-972 / CDC 1076 / CIP 108378 / DSM 44985 / JCM 13578)

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 D6ZFG9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|D6ZFG9|MSHC_SEGRD L-cysteine:1D-myo-inositol 2-amino-2-deoxy-alpha-D-glucopyranoside ligase OS=Segniliparus rotundus (strain ATCC BAA-972 / CDC 1076 / CIP 108378 / DSM 44985 / JCM 13578) OX=640132 GN=mshC PE=3 SV=1 MRSWLAPSVPKLAGAGPRLRLWDSADRIIRPVTPGRTATMYVCGITPYDATHLGHAATYLAFDLVHRLWLDAGHQVAYAQNITDVDDPLLERADRDHRDWQELAAEQIELFRTDMSALRVLPPHEYVGVTESVGLVVAMVEKLLANQSAYVVAEGEYPDVYHRIAATEDFGYVSGYGREEMAQVFRERGGDPDRPGKADPLDALLWRAARPGEPSWPSPFGPGRPGWHVECSAIALDRIGFGFDVQGGGSDLVFPHHEFSAAHAQAQHGAGAADEHRRFARNYVHAGMIGLDGEKMSKSLGNLVFVSALRERGVDPSAIRLALFAGHYRADRSWDQGLLREAQERLARWRHAASLASGPAAHDVVARMREHLANDLDTPKALAALDSWSLEAAAHGGGDQEAPALVARAADALLGVQLTP