Q65G70 AF NFT

UPF0173 metal-dependent hydrolase BLi03080/BL00413

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifjceankiaiii3ogm6hpuzudicy26m6zrul2xwkfvuiotizno5aem/metadata.json
IPFS of structure file: 
bafybeiezqsxnjep6xfmsal5nblxkskmdhx3y2q2e55b6reezbx6rs64w2y/AF-Q65G70-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9813De3d6CFC7786eA653839E1f43339E301FD92
First NFT owner address (bech32): 
genesis1nqfau0tvl3mcd6n98qu7rapn883srlvjmlvvnl
Current NFT ID #514453 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
514453
Accession (UniProt):
Q65G70
Name::
UPF0173 metal-dependent hydrolase BLi03080/BL00413
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 Q65G70 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65G70|Y3080_BACLD UPF0173 metal-dependent hydrolase BLi03080/BL00413 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=BLi03080 PE=3 SV=1 MKVAYHGHSVVTVDTGDHQLIFDPFITGNSLTDLKPEDVKADVILLTHGHNDHVGDTIEIAKRNNSLVVAPNELAVYLGWKGLNVHPMHIGGSHQFDFGKVKLTQAFHGSAYTEEDSQKIVYTGMPAGILLTVEGRTIFHAGDTGLFSDMKLIGELNHIDLAFLPIGDNFTMGPEDAKLAAEWLRAKQVVPVHYSTFPVIEQDPHAFADSLPGGVGKVLEVGESIEFK