P03945 AF NFT

Cytochrome c oxidase subunit 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifbxjxmh7bfmncrogwfvacsaeqeu5csnumdvar4vr23n2kgwt6fzu/metadata.json
IPFS of structure file: 
bafybeieesq4gkijfbhywj7y54runqfy5ylhqilshftyxd6p2zvvqg3nehy/AF-P03945-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x102561E808e785b64B48713C8D8B2D5820380F93
First NFT owner address (bech32): 
genesis1zqjkr6qgu7zmvj6gwy7gmzedtqsrsrunqpfpyj
Current NFT ID #73545 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
73545
Accession (UniProt):
P03945
Name::
Cytochrome c oxidase subunit 1
Experimental Method:
Predicted structure
Sequence source:
NEUROSPORA CRASSA (STRAIN ATCC 24698 / 74-OR23-1A / CBS 708.71 / DSM 1257 / FGSC 987)

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 P03945 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P03945|COX1_NEUCR Cytochrome c oxidase subunit 1 OS=Neurospora crassa (strain ATCC 24698 / 74-OR23-1A / CBS 708.71 / DSM 1257 / FGSC 987) OX=367110 GN=cox-1 PE=1 SV=2 MSSISIWTERWFLSTNAKDIGVLYLIFALFSGLLGTAFSVLIRMELSGPGVQYIADNQLYNAIITAHAILMIFFMVMPALIGGFGNFLLPLLVGGPDMAFPRLNNISFWLLPPSLLLLVFSACIEGGAGTGWTIYPPLSGVQSHSGPSVDLAIFALHLSGVSSLLGSINFITTIVNMRTPGIRLHKLALFGWAVVITAVLLLLSLPVLAGAITMLLTDRNFNTSFFETAGGGDPILFQHLFWFFGHPEVYILIIPGFGIISTTISAYSNKSVFGYIGMVYAMMSIGILGFIVWSHHMYTVGLDVDTRAYFTAATLIIAVPTGIKIFSWLATCYGGSIRLTPSMLFALGFVFMFTIGGLSGVVLANASLDIAFHDTYYVVAHFHYVLSMGAVFAMFSGWYHWVPKILGLNYNMVLSKAQFWLLFIGVNLTFFPQHFLGLQGMPRRISDYPDAFSGWNLISSFGSIVSVVASWLFLYIVYIQLVQGEYAGRYPWSIPQFYTDSLRALLNRSYPSLEWSISSPPKPHSFVSLPLQSSSFFLSFFRLSSYGEQKEISGRQN