E0U0L7 AF NFT

Cell cycle protein GpsB

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeige7unouv2po6knd2g5to347stldoerrobjtkk742inlabfri77ju/metadata.json
IPFS of structure file: 
bafybeifg65pwo3zhw2gqd5mda5pyg764rshlqk3nfrsdqkiuo5m5jw7cn4/AF-E0U0L7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA0f5ea066576302D69daD07dD048eA72B2b46B7e
First NFT owner address (bech32): 
genesis15r675pn9wccz66w66p7aqj82w2etg6m7lxraf9
Current NFT ID #157378 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
157378
Accession (UniProt):
E0U0L7
Name::
Cell cycle protein GpsB
Experimental Method:
Predicted structure
Sequence source:
Bacillus spizizenii (strain ATCC 23059 / NRRL B-14472 / W23)

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 E0U0L7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|E0U0L7|GPSB_BACSH Cell cycle protein GpsB OS=Bacillus spizizenii (strain ATCC 23059 / NRRL B-14472 / W23) OX=655816 GN=gpsB PE=3 SV=1 MLADKVKLSAKEILEKEFKTGVRGYKQEDVDKFLDMIIKDYETFHQEIEELQQENLQLKKQLEEASKKQPVQSNTTNFDILKRLSNLEKHVFGSKLYD