Q63CR4 AF NFT

UPF0291 protein BCE33L1708

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifijlvwla4h6dbrjxasaifujb6qur4o3gb7mtqvsaq3tpdxcrykwe/metadata.json
IPFS of structure file: 
bafybeiglq3kqj7cfu27vhzxl3mamjpd2ffgrcamk747sg2krjdqvm22r3q/AF-Q63CR4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb10B578A27bBa6Cdba3967F273CC1582b84a5908
First NFT owner address (bech32): 
genesis1ky940z38hwnvmw3evle88nq4s2uy5kggj359qn
Current NFT ID #508850 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
508850
Accession (UniProt):
Q63CR4
Name::
UPF0291 protein BCE33L1708
Experimental Method:
Predicted structure
Sequence source:
BACILLUS CEREUS (STRAIN ZK / E33L)

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 Q63CR4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q63CR4|Y1708_BACCZ UPF0291 protein BCE33L1708 OS=Bacillus cereus (strain ZK / E33L) OX=288681 GN=BCE33L1708 PE=3 SV=1 MKNILFRINELSKKEKATGLTVDEKQEQQMLRQNYTQTFRGSLDSILLNTKIVDQNGLNVTPAALQDAQIRLKLSK