Q65JQ2 AF NFT

UPF0122 protein BLi01817/BL02321

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihdh4hkh2cmpwpqupsagjd476uqxjhw3dkwq5fz34uuriy2tbozma/metadata.json
IPFS of structure file: 
bafybeifi6ks2zgeavkwyky5ilwkt5ev24kiymwxrgtpmu6wmiigio3ovgu/AF-Q65JQ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0EA189b2343A464f560b44103f6A3396Da1dA8a9
First NFT owner address (bech32): 
genesis1p6scnv358fry74stgsgr763njmdpm29fgnp4ht
Current NFT ID #511936 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
511936
Accession (UniProt):
Q65JQ2
Name::
UPF0122 protein BLi01817/BL02321
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

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 Q65JQ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65JQ2|Y2321_BACLD UPF0122 protein BLi01817/BL02321 OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=BLi01817 PE=3 SV=1 MTLEKTTRMNYLFDFYQTLLTSKQKSYMSLYYLDDFSLGEIAEEYHVSRQAVYDNIKRTEAMLEQYEEKLLLFKKFQERKKIFEALRKLTDGQPEAESLIDALEKLD