Q9U3V8 AF NFT

Protein xmas-1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibi5a5dll2ygcx5xrpwoxokfhoa6qikketblpmnpztxxjwdp5xkmu/metadata.json
IPFS of structure file: 
bafybeidwhjlmxvshleqzktsaoivorwwlwhgs6kpopw7f7y54xtk6r5jlme/AF-Q9U3V8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE4e5409cB506845d70744D216Bfd0506C6207BD9
First NFT owner address (bech32): 
genesis1unj5p894q6z96ur5f5skhlg9qmrzq77e78k684
Current NFT ID #501439 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
501439
Accession (UniProt):
Q9U3V8
Name::
Protein xmas-1
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 Q9U3V8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9U3V8|XMAS1_DROME Protein xmas-1 OS=Drosophila melanogaster OX=7227 GN=xmas-1 PE=4 SV=2 MKSLVAQTECQLRPLKVSSLVSALKAARSDYQGKSSAVCRLVAQMVEADQVKYQWTPNLTSLIDRKDASTRHQWRPHVNHSTRHARKLPVQSISFLSRCLAKKGEHAGLTSCVLSVKTRYAPKTLHGRELLIWRQSSMRPLLLPSSNLWTGVLSKRHYVPRLRPAEEDEEVERRAVPQLRITKEQSEEEEHQLQRRKDGSRLRNECSEFYLPMGEQDYSEREEENRGHRQAYVPSELMTPELATKWQTTSVTDRDRQLLNLEQQMKTQPSVRMTTQTWFSGNHRRYRSRRSGAKRYHVVSELEGWRRSSNHQPVPVFQGQPGEQEHLRHASHKASARSMPDGQERCQMVWEQKKRSPWHRTEVTNSNKVRMPRIRAAKSAVMMAQEARNKHHRLITKKLVYRPRRTVNAVQAEETEDQDTHHRHHGGGQKMSKRAPERALLKQHLADLLAVSKPEDSFRIGYQPNAPTRQLLEQGKCYVSLRREQFIHLHPVRPNSLILAVNLEVKESPRQPVTTLHRRDGAKRPRLVEDVVKPSLITVIRQSAATWDHNGRKVPAKKSNLVGMPSKEHAYQRRLVRNTSTLEAIVKAQAKPRSEPKSPSSATDYHRVASQKLPHVTSKADISKAADPFKDLDKPRIKEKEVASSWKQAYVVRSKMYDAITPYRRRAYPGKKCITKDKTDGYFLAKRSSAAAAGSSKKVKPPKQPVVSPKVQVPSVLHKKKSRESLGPQTTKTGKL