Q0BVK2 AF NFT

UPF0434 protein GbCGDNIH1_0252

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifp7hzf26n3wtnkh5viv6ts7ajhhkqfd4bizkodsctikqqvkepx5m/metadata.json
IPFS of structure file: 
bafybeigx5bbpthif3ydqw73ryvfvzrtkmauhhnsbugzknenwonbic2asp4/AF-Q0BVK2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA09372C68486A4D623540780401ED026eEcdc381
First NFT owner address (bech32): 
genesis15zfh935ys6jdvg65q7qyq8ksymhvmsup49g8qg
Current NFT ID #512695 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
512695
Accession (UniProt):
Q0BVK2
Name::
UPF0434 protein GbCGDNIH1_0252
Experimental Method:
Predicted structure
Sequence source:
Granulibacter bethesdensis (strain ATCC BAA-1260 / CGDNIH1)

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 Q0BVK2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0BVK2|Y252_GRABC UPF0434 protein GbCGDNIH1_0252 OS=Granulibacter bethesdensis (strain ATCC BAA-1260 / CGDNIH1) OX=391165 GN=GbCGDNIH1_0252 PE=3 SV=1 MTDNTLPSLSDPAATPERGSAAETVDPRLLEILVCPVTRDTLVYDAAAGELISRKAGLAYPIRDGIPIMLPEEARRLPE