Q872W1 AF NFT

Autophagy-related protein 17

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibhfrlivh47dprp3rubzbelmqckg3j2przjtdmew5mwim6kh6segy/metadata.json
IPFS of structure file: 
bafybeifklwpkgolgp76j2eudpgf5zhapdtvzrxhhphomrzqe5rrpdd2x7y/AF-Q872W1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc68aC5e94B8753FB46682724bd6fC29cf50d2c55
First NFT owner address (bech32): 
genesis1c69vt62tsaflk3ngyujt6m7znn6s6tz4szvgs5
Current NFT ID #31050 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
31050
Accession (UniProt):
Q872W1
Name::
Autophagy-related protein 17
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 Q872W1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q872W1|ATG17_NEUCR Autophagy-related protein 17 OS=Neurospora crassa (strain ATCC 24698 / 74-OR23-1A / CBS 708.71 / DSM 1257 / FGSC 987) OX=367110 GN=apg-9 PE=3 SV=1 MASFHSHSPSPPAALSPDDAPQPRRPSRTSLHDAAAAAAPALSPESPGHELEDGADSSEFNADDVPVEVLVKHLLAAKQSLSSMTLVLRANDLATSARQMHQEFVILSAQTAFLRHGILQELHILHQLRRGMARAYDNGTRDFKHIIRTLDTADGRLEKIMQVLRKTTVENVFRQPGEEPKCLLDFVDPKIVEQVRDALKESIHELSAAKTSFDGDLLRFDTDLRTLTDAMAAAASLANPTTTTPDGYPPDQRSIPNLLSALSEGSHLMAEHLSSLTRHFDMCVTAVRTTEGGAALARRRAAEATSSDEDQAPVSISGVISAQESESGPSAFEPMDPLERQELLHVVMRDAAEVDDVVADIHNVLQQMEMDHASLHSLFSASRASHAATLTCFSMLEEVGARASSYVAAEAEFMQRWEDEKETIDENVSKMDELKKFYEGFLNAYGGLLLEVERRRAVEGKIDSIWRKAKEQVDKLVEADKREREHFRLEVGDYVPADLWGVVDRPLGRWAVVPLEDTREGSYEMEAHGEPENEGKVETAYERETEPSTPTPRKMPLNGPGSAGERPF