B9IVZ6 AF NFT

Putative cysteine ligase BshC

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih5x3ka5nwwn3hltfbzhpust5fibwmwchb6uufxy4urbjwltcrode/metadata.json
IPFS of structure file: 
bafybeihejlejtfrge5p4rjnzbzogdmbmxzy6bw4meyxqwmv43qen2sslzy/AF-B9IVZ6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6717A0851620Ad326247dFf63f66511ff04d42ec
First NFT owner address (bech32): 
genesis1vut6ppgkyzknycj8mlmr7ej3rlcy6shve9vfl8
Current NFT ID #46565 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
46565
Accession (UniProt):
B9IVZ6
Name::
Putative cysteine ligase BshC
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain Q1)

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 B9IVZ6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B9IVZ6|BSHC_BACCQ Putative cysteine ligase BshC OS=Bacillus cereus (strain Q1) OX=361100 GN=bshC PE=3 SV=1 MEIKEISVPQQGVVADYMNGEKEIQSCFDYMLTEDAFKQRVQDLREREFFRQDLVAHLLEYNTKLQAGEATIQNVKALEDEDTYVVIAGQQAGLLTGPLYTIHKIISVLQLAKEKEESLGVKVVPVFWIAGEDHDMDEINHTFVTKNKKIKKTIFHDRNPKKASASESELSLEDCRKWIEEIFKTYPETNFTKDVLRFIDDSLGKSNTYVDFFGHLIMKMFINSGLILVDSHHPELRKLEVPFFKQIVSKYKEVQEGLHNQQEVIKELGYKPIIETKSNAVHIFMEIDNERVLLEDNQGKFVGKDGTYSFSYEELIEEMERSPERFSNNVVTRPLMQEYVFPTLAFIGGPGELAYWSELQQVFHTIGFRMPPVVPRITITYIERDIATDLHDLQLQESDPFLNNVDKLRENWLSNQIEEPIDERFVEAKKEIIDIHKSLQQFVKKIDPGLSSFAGKNEFKINEQIELLERMLKRNIEKKHEVELNKFRRIQFAIRPLGAPQERVWNVCYYLNQFGLDFVDRVMEKPFSWNGKHHVIKL