Q63GH2 AF NFT

UPF0435 protein BCE33L0380

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid43swp2zw4ckfuwt3rgxosxd3wwa5gv7utsfwwri2jyw3kv5ivf4/metadata.json
IPFS of structure file: 
bafybeih4xzz7boqsuvwywqda4cqs4ynslzsffbkwcmyrz4h2nkrdyoxsmy/AF-Q63GH2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF8cD1d8d93E9783063700De244A6e3cf6A195579
First NFT owner address (bech32): 
genesis1lrx3mrvna9urqcmsph3yffhrea4pj4tedrk7yh
Current NFT ID #516326 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
516326
Accession (UniProt):
Q63GH2
Name::
UPF0435 protein BCE33L0380
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 Q63GH2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q63GH2|Y380_BACCZ UPF0435 protein BCE33L0380 OS=Bacillus cereus (strain ZK / E33L) OX=288681 GN=BCE33L0380 PE=3 SV=1 MDLSVKSEENVEYMVEAIKEKLRMVNAGAMRAASFNEEMYEDLRDIYEHVMKRETFSISEMQAITEELGTLIKK