B7HHW3 AF NFT

Cell cycle protein GpsB

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie2py7y52zize64m7thly4ep75wo3fltpupbfcnfnwta3ba5qvhli/metadata.json
IPFS of structure file: 
bafybeib7kgd4eipdykvhwvttdetw4wafbr3gw67cq65xfcexxsr5bf5aq4/AF-B7HHW3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xcBd878cACF8B1F59a9D92Dfb5b82Ad72Fd006916
First NFT owner address (bech32): 
genesis1e0v83jk03v04n2we9ha4hq4dwt7sq6gkkvtpa4
Current NFT ID #157368 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
157368
Accession (UniProt):
B7HHW3
Name::
Cell cycle protein GpsB
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain B4264)

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 B7HHW3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7HHW3|GPSB_BACC4 Cell cycle protein GpsB OS=Bacillus cereus (strain B4264) OX=405532 GN=gpsB PE=3 SV=1 MISDKIKLTAKDILEKEFKTGMRGYQQEEVDKFLDMIIKDYEAFHKEFEQLKQQNARLKRELEEQKLAVTQVPQQPVQTPVAQPVYNNTNTDILKRLSNLEKAVFGSKLYE