Q7ZVA0 AF NFT

WD40 repeat-containing protein SMU1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifnoshb4vguis5jhzhodnhds2yq7jyw6qabx3djlbft3ahgzhvlhm/metadata.json
IPFS of structure file: 
bafybeic4hnkldf2jax2e53paqytead5e3awoq4uao36ftod7hayfnyjs5i/AF-Q7ZVA0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xaC6A2ff0dB4C8f4638388c1767C5C3c704307ff8
First NFT owner address (bech32): 
genesis1434zluxmfj85vwpc3stk03wrcuzrqllcew06tc
Current NFT ID #431480 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
431480
Accession (UniProt):
Q7ZVA0
Name::
WD40 repeat-containing protein SMU1
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q7ZVA0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7ZVA0|SMU1_DANRE WD40 repeat-containing protein SMU1 OS=Danio rerio OX=7955 GN=smu1 PE=2 SV=1 MSIEIESADVIRLIMQYLKENSLHRTLAMLQEETTVSLNTVDSIESFVADINSGHWDTVLQAIQSLKLPDKTLIDLYEQVVLELIELRELGAARSLLRQTDPMIMLKQTQPERYIHLENLLARSYFDPREAYPDGSSKEKRRAAIAQALAGEVSVVPPSRLMALLGQSLKWQQHQGLLPPGMTIDLFRGKAAVKDVEEERFPTQLARHIKFGQKSHVECARFSPDGQYLVTGSVDGFIEVWNFTTGKIRKDLKYQAQDNFMMMDDAVLCMSFSRDTEMLATGAQDGKIKVWKIQSGQCLRRYERAHSKGVTCLSFSKDSTQILSASFDQTIRIHGLKSGKCLKEFRGHSSFVNEATLTPDGHHAISASSDGTVKVWNMKTTECTSTFKSLGTSAGTDITVNNVILLPKNPEHFVVCNRSNTVVIMNMQGQIVRSFSSGKREGGDFVCCTLSPRGEWIYCVGEDYVLYCFSTVTGKLERTLTVHEKDVIGIAHHPHQNLIGTYSEDGLLKLWKP