Q0BTH9 AF NFT

UPF0102 protein GbCGDNIH1_0975

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifud6ts75otra7qxlrimnum7xoius4xt25jqikkmqmuticlvq6kqy/metadata.json
IPFS of structure file: 
bafybeibjm4chyvqgn4izfchl3yuipge3vilosb5u2pfskjcvf7qfb5zy2e/AF-Q0BTH9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7012c0b45c68a2c067644b9d3e5DDa06892c6957
First NFT owner address (bech32): 
genesis1wqfvpdzudz3vqemyfwwnuhw6q6yjc62hg2ks0z
Current NFT ID #523298 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
523298
Accession (UniProt):
Q0BTH9
Name::
UPF0102 protein GbCGDNIH1_0975
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 Q0BTH9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0BTH9|Y975_GRABC UPF0102 protein GbCGDNIH1_0975 OS=Granulibacter bethesdensis (strain ATCC BAA-1260 / CGDNIH1) OX=391165 GN=GbCGDNIH1_0975 PE=3 SV=1 MNKKKDDCGGLSLPSDSVFCSLHANDSIWQHDKKVLRGGKASRDGLEAERIAAQALEADGWQILGRRLRTSAGEIDILAEMDGLLAIVEVKYRPTLSEAAHALGPRQRKRLIAAASYVLAQHPEYGTEGVRFDVIVVDMAGQVRRITDAFRLDEEGWP