Q0BVH7 AF NFT

UPF0235 protein GbCGDNIH1_0277

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicehbasqjaqpn4i64dpis5s67bqxod73vt5z3zpa5cdbwqzzuncgy/metadata.json
IPFS of structure file: 
bafybeicoazw3lxeukeroyokiw4q2utd5coykkligzvfnmzlzhebgw6fadq/AF-Q0BVH7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7012c0b45c68a2c067644b9d3e5DDa06892c6957
First NFT owner address (bech32): 
genesis1wqfvpdzudz3vqemyfwwnuhw6q6yjc62hg2ks0z
Current NFT ID #513625 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
513625
Accession (UniProt):
Q0BVH7
Name::
UPF0235 protein GbCGDNIH1_0277
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 Q0BVH7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0BVH7|Y277_GRABC UPF0235 protein GbCGDNIH1_0277 OS=Granulibacter bethesdensis (strain ATCC BAA-1260 / CGDNIH1) OX=391165 GN=GbCGDNIH1_0277 PE=3 SV=1 MSIWRSVENGITLALRVVPKARKIGLGGTVPGADGKPRLKISVSAPADKGQANEAVRDMLAKALRVPASRITLLQGLTARDKLVRVEGDPETLGSTVETLASGGTDS