Q2TAY7 WD40 repeat-containing protein SMU1 MolNFT, Molecular NFT on GenesisL1

WD40 repeat-containing protein SMU1

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiawe4zfidw2m3bbpskz5heqj2kokrbhxpr3iibwvu275rqx7bperu/metadata.json

IPFS of structure file:

bafybeiciczll62ilckpggu77jreqrqdxyzfsmrt5x7ib7iexidvwbgvbay/AF-Q2TAY7-F1-model_v2.pdb

First NFT owner address (eip-55):

0xaD9dE00C28f929768aDdF1D69Ff82daeB365C508

First NFT owner address (bech32):

genesis14kw7qrpgly5hdzka78tfl7pd46ekt3gg6cfehv

Current NFT ID #431482 owner (web3):

0x73dc51dd3A4C9b11b63F870AB7aa6Bca29c35a12

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
431482
Accession (UniProt):
Q2TAY7
Name::
WD40 repeat-containing protein SMU1
Experimental Method:
Predicted structure
Sequence source:
HOMO SAPIENS

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 Q2TAY7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2TAY7|SMU1_HUMAN WD40 repeat-containing protein SMU1 OS=Homo sapiens OX=9606 GN=SMU1 PE=1 SV=2 MSIEIESSDVIRLIMQYLKENSLHRALATLQEETTVSLNTVDSIESFVADINSGHWDTVLQAIQSLKLPDKTLIDLYEQVVLELIELRELGAARSLLRQTDPMIMLKQTQPERYIHLENLLARSYFDPREAYPDGSSKEKRRAAIAQALAGEVSVVPPSRLMALLGQALKWQQHQGLLPPGMTIDLFRGKAAVKDVEEEKFPTQLSRHIKFGQKSHVECARFSPDGQYLVTGSVDGFIEVWNFTTGKIRKDLKYQAQDNFMMMDDAVLCMCFSRDTEMLATGAQDGKIKVWKIQSGQCLRRFERAHSKGVTCLSFSKDSSQILSASFDQTIRIHGLKSGKTLKEFRGHSSFVNEATFTQDGHYIISASSDGTVKIWNMKTTECSNTFKSLGSTAGTDITVNSVILLPKNPEHFVVCNRSNTVVIMNMQGQIVRSFSSGKREGGDFVCCALSPRGEWIYCVGEDFVLYCFSTVTGKLERTLTVHEKDVIGIAHHPHQNLIATYSEDGLLKLWKP

Q2TAY7 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q2TAY7 research and analysis (ICN3D with VR)

FASTA sequences

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