Q6NGA3 AF NFT

Cytochrome bc1 complex cytochrome b subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicuvdg5r5ytovd6fj6b75koh4ddelkjcbqykkstzbb3ukmy274nzu/metadata.json
IPFS of structure file: 
bafybeicp42b2qaer5obaprmoviss23latz25uavbhhmbodpvzazdkq4s44/AF-Q6NGA3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8B076cFcCce75c7d28db718CD81F3160E1E1Ee20
First NFT owner address (bech32): 
genesis13vrkelxvuaw862xmwxxds8e3vrs7rm3qz887gp
Current NFT ID #329341 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
329341
Accession (UniProt):
Q6NGA3
Name::
Cytochrome bc1 complex cytochrome b subunit
Experimental Method:
Predicted structure
Sequence source:
CORYNEBACTERIUM DIPHTHERIAE (STRAIN ATCC 700971 / NCTC 13129 / BIOTYPE GRAVIS)

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 Q6NGA3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6NGA3|QCRB_CORDI Cytochrome bc1 complex cytochrome b subunit OS=Corynebacterium diphtheriae (strain ATCC 700971 / NCTC 13129 / Biotype gravis) OX=257309 GN=qcrB PE=3 SV=1 MSNKLAEIGNNIDSRYTAASGIRRQINKVFPTHWSFMLGEIALYSFIILLLTGVYLTLFFDPSITKVIYDGAYLPLNGVEMSRAYETALNLSFEVRGGLFIRQMHHWAALTFMVSMTVHMLRIFFTGAFRRPREANWIIGCVLLFLGMAEGFMGYSLPDDLLSGVGLRIMSAIILALPIIGTWLHWLIFGGDFPSDLMLDRFYIAHVLIIPGIILGLIAAHLALVWYQKHTQFPGAGRTENNVVGVRILPVFILETSSFGLVTFGVLALLAGLTSINAIWNLGPYNPSQVSAGSQPDIYMLWTDGAARVMPAWELYIGSYTIPGAFWVALLCGVLVGLLVGYPFIEKKITGDDAHHNLLQRPRDVPVRTSLGVMAIVFYFLLTLSGGNDLFAYHFEVSLNAMTWVGRIGLIVLPPLAYFITYRICLGLQRSDREVLEHGIETGVIKIMPNGAFVEVHQPLGPVDEHGHPVPLPYAGAPVPKQLNDLGFGGEPGRGGYFTPDNDSLAAKYAEIEHENHLEEMAMYKNLQKNNRAQDGVEED