Q9X813 AF NFT

Probable cytochrome c oxidase subunit 1-alpha

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaem4q23axq2wgbxnjrhnzulhgpncr2drlu5naqciftyl2jdamigy/metadata.json
IPFS of structure file: 
bafybeie4iytn6y3oqolarbkaohraqli536echju7js36wtlj5euqme2cy4/AF-Q9X813-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbff27Dc0a932A6E0d9Fe883AAbD1BF27bB95A69F
First NFT owner address (bech32): 
genesis1hle8ms9fx2nwpk073qa2h5dly7aetf5lctcm7h
Current NFT ID #73428 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
73428
Accession (UniProt):
Q9X813
Name::
Probable cytochrome c oxidase subunit 1-alpha
Experimental Method:
Predicted structure
Sequence source:
STREPTOMYCES COELICOLOR (STRAIN ATCC BAA-471 / A3(2) / M145)

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 Q9X813 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9X813|COX1A_STRCO Probable cytochrome c oxidase subunit 1-alpha OS=Streptomyces coelicolor (strain ATCC BAA-471 / A3(2) / M145) OX=100226 GN=ctaD1 PE=3 SV=1 MSILNEPQGASAAEDSYENELPVRRKQPGNVVIKWLTTTDHKTIGTMYLVTSFAFFVIGGVMALFMRAELARPGLQIMSNEQFNQAFTMHGTIMLLMFATPLFAGFANWIMPLQIGAPDVAFPRLNMFAYWLYLFGSTIAVGGFLTPQGAADFGWFAYSPLSDAVHSPGIGGDLWIMGLAFSGFGTILGSVNFITTIICMRAPGMTMFRMPIFTWNVLLTGVLVLLAFPVLAAALFALEADRKFGAHIFDSSNGGALLWQHLFWFFGHPEVYIIALPFFGIVSEIIPVFSRKPIFGYMGLIGATIAIAGLSVTVWAHHMYVTGGVLLPFFSFMTFLIAVPTGVKFFNWIGTMWKGSLSFETPMLWSTGFLITFLFGGLTGVILASPPLDFHVSDSYFVVAHFHYVVFGTVVFAMFAGFHFWWPKFTGKMLDERLGKITFWTLFVGFHGTFLVQHWLGAEGMPRRYADYLAADGFTALNTISTISSFLLGMSILPFFYNIWKTAKYGKKIEVDDPWGYGRSLEWATSCPPPRHNFLTLPRIRSESPAFDLHHPEISAIDQLENVGHGEKALAGGKEAGK