O99255 Cytochrome c oxidase subunit 1 MolNFT, Molecular NFT on GenesisL1

Cytochrome c oxidase subunit 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeias5ri46yfdvuvhdzerhhbetnz67itprmdr5n4c3sbnaxtfjdsdwy/metadata.json

IPFS of structure file:

bafybeigtpif7p5dhcy7fxyvn4oz7ol4bysp26h67diutdwhw4fcqphb5uu/AF-O99255-F1-model_v2.pdb

First NFT owner address (eip-55):

0x9cF378e1AE3788b0f9f7F6910A4e1CE80D6DAb25

First NFT owner address (bech32):

genesis1nneh3cdwx7ytp70h76gs5nsuaqxkm2e9zuly8p

Current NFT ID #73577 owner (web3):

0xc0224d9b5eAf1738A8c7aa828212318A1D9b0eCA

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
73577
Accession (UniProt):
O99255
Name::
Cytochrome c oxidase subunit 1
Experimental Method:
Predicted structure
Sequence source:
Plasmodium chabaudi

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 O99255 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O99255|COX1_PLACH Cytochrome c oxidase subunit 1 OS=Plasmodium chabaudi OX=5825 GN=COI PE=3 SV=2 MVFNRYALITNCNHKTLGLYYLWFSFLFGIYGFLLSVILRTELYSSSLRIIAQENVNLYNMIFTVHGIIMIFFNIMPGLFGGFGNYYLPILCGSSELAYPRINSISLLLQPIAFILVILSTAAEFGGGTGWTWYPPLSTSLMSLSPVAVDVIVIGLLVSGIASIMSSLNFLTTVMHLRAKGLTLGILSVSTWSLIITSIMLLLTLPVLTGGVLMLLSDLHFNTLFFDPTFAGDPILYQHLLWFFGHPEVYILILPAFGIISHVISTNYSRSLFGNQSMILAMGCIAVLGSVVWVHHMYTTGLEVDTRAFFTSTTILISIPTGTKVFNWLCTYMSTNFGITHSSSLLSLLFICTFTFGGTTGVILGNGAIDVALHDTYYVIAHFHFVLSIGAIIALFTSVSFFQESFFGKTLRENTIIVLWSILFFVGVVLTFLPMHFLGFNVMPRRIPDYPDALNGWNMICSIGSTMTLFGLLIFK

O99255 AF NFT

MOLNFT AF v1

NFT data

MOLNFT O99255 research and analysis (ICN3D with VR)

FASTA sequences

We use cookies on this site to enhance your user experience