Q81JB2 AF NFT

Initiation-control protein YabA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihrehpgase6jnbwc3d7gld5qesytwqv66oxjrfvjocyykdhlspri4/metadata.json
IPFS of structure file: 
bafybeifzruwzdempdy6lynl2kyglyrahthmwtxbmabsejjlmfkfcxt2gxm/AF-Q81JB2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x762B0b0c9E06fC744ca8bC92CD8e84604b03c8B5
First NFT owner address (bech32): 
genesis1wc4skry7qm78gn9ghjfvmr5yvp9s8j94y4pxhc
Current NFT ID #523709 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
523709
Accession (UniProt):
Q81JB2
Name::
Initiation-control protein YabA
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain ATCC 14579 / DSM 31 / CCUG 7414 / JCM 2152 / NBRC 15305 / NCIMB 9373 / NCTC 2599 / NRRL B-3711)

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 Q81JB2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q81JB2|YABA_BACCR Initiation-control protein YabA OS=Bacillus cereus (strain ATCC 14579 / DSM 31 / CCUG 7414 / JCM 2152 / NBRC 15305 / NCIMB 9373 / NCTC 2599 / NRRL B-3711) OX=226900 GN=BC_0039 PE=3 SV=2 MEKKDIFESVSSMEEQIGHLYKQLGELKQHLAELLEENQHIKMENNNLRHRFEEVQNKEKQKTQKRKEVKPKTDIGEGYDNLARLYQEGFHICNLHYGSVRKEGDCLFCLSFLNKK