Q5AM84 AF NFT

U1 small nuclear ribonucleoprotein component SNU71

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigznu3betlgvtvplhc2uc6zunv7iuewkm4stjg2b7s7skdhlqu6pu/metadata.json
IPFS of structure file: 
bafybeiarrvwhayrxwjz752mn7szlgj4fffrzzruw6iveju5c2zbyimdgci/AF-Q5AM84-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa8A1c7BA6D7bAf815aeb7e38575A232686180e38
First NFT owner address (bech32): 
genesis14zsu0wnd0whczkht0cu9wk3ry6rpsr3c9ug7sa
Current NFT ID #431913 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
431913
Accession (UniProt):
Q5AM84
Name::
U1 small nuclear ribonucleoprotein component SNU71
Experimental Method:
Predicted structure
Sequence source:
CANDIDA ALBICANS (STRAIN SC5314 / ATCC MYA-2876)

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 Q5AM84 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5AM84|SNU71_CANAL U1 small nuclear ribonucleoprotein component SNU71 OS=Candida albicans (strain SC5314 / ATCC MYA-2876) OX=237561 GN=SNU71 PE=3 SV=2 MTAGDNSIEYVNPYSLSQTINSDLISILDPNGSTTSIIKPQLNYQIPIFKSIDVSNLIDLNNTKIQTQTNETRINKAKDSSDDHQNNPSSKDYDTSGENIVGGIDDIVEDIKLYVSIDKLKPENFQNQLTTIIINQFPTNLKSNLIEQLLKMLMNLKKFVWSFINHELIDLKLIFIKFDQLKDLKWFLLTYCDHISQLIPNVTIITNDKVNEYLNNNKDSSLAKVEPSKITDNLKAKINLIINNPINYTKGKKNSGTEDLDQVLDSYSNYKVDNNDLIDIPNNMKENIIKDIIRFRSRMLLIEKEQRKKEIEMERIKTKNKLKELFEGIKENSTDSTTRKATNKAAVGVTISPKVSHRDEYEDMNDKEYEEFIAVEERNKLNDQYNKKLKSFQNNQHAEYMKLTNKLKSLQNYESDLIDNKLKYIDNLKNYQTNGLAHLYTHNYSDYLRMRSQKRSLEETKDAEDVKQELEEIKKNGGQVASTNTNTNTKPSTYSSGVSELATTSVETPKSTTTTTTTNDTTDEPVAKKSKLAKEIIIIDLPPTVKQSLQEKIVELVENSLGIKDEFLIQVINENLEASNLDNKQELIDELVQVLDEDAESLVNELWDYIETMV