Q54CH8 AF NFT

Protein psiN

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigosbll7ldzddpiibnv3q5d7ccyacbp2k3sz7rmbcdz5gphmngpge/metadata.json
IPFS of structure file: 
bafybeicp6esqxikmj5fr535vzeblof5gv3p4o6f2hyohy5x3hwoitosewq/AF-Q54CH8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0c3BD61770FeF3aB621008259DC933f6DfDc3882
First NFT owner address (bech32): 
genesis1psaav9mslme6kcsspqjemjfn7m0acwyzn4k57l
Current NFT ID #316955 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
316955
Accession (UniProt):
Q54CH8
Name::
Protein psiN
Experimental Method:
Predicted structure
Sequence source:
DICTYOSTELIUM DISCOIDEUM

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 Q54CH8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54CH8|PSIN_DICDI Protein psiN OS=Dictyostelium discoideum OX=44689 GN=psiN PE=3 SV=1 MGNINKKLFYFLIQLITILIVLSDDSYNSLLPLEKDIAVIIRDLSPQTNPDFEIDNPNRVIKGLVKDQLNEEDRSPIYCCGDDHAPNIDRNRFVIHNQSTFYSWFHNQKDVNIVISKSLVFTRNVTSDDPRIYSYESDNFFPIDKMGFEADSYNGPIKKNQWKDRWGFPRNFHFCLELHASFFYIGGELFSFKGDDDVWVFIDNRLVLDLGAPHDVSGQNGQGSVYLDNLGLEKSKSYNFDFFYCERHTTDSHIMVETSIDFKCKYYDYCGVCEGMGKCCNPSECYGSLPACGHFECPGLTDIAPNVDWRYHCKVVVPNCSLSDTFCVKHQCDPDSKQCVPSTDYQPCQGKSNSSCIEARCDDKMGGCYLKSKPKDQSKNDTTCYRETCNEDTSTWEYKALCEDDSDKCISKKCIPNSGCSSSVVDCNDNNHCTIDSCSKDTGCIHDPIENCVPCVEGNKCSESSDKCQQLECNPYNSTTECIDRTKKNCDDSNACTIDTCNGESGECENTPKQCLAKNKCSTARCNSKTGQCDNIYHCDDGILCTLDKCSENGTCYYEANPCDDGDQCTIDICLNTLTETGGCSHSARVCEPKNSCFTSHCDKKLGCVQTPIECPVEAFCLISFCDNSTKKCMTADRPCIPDDPRCQYGVCDNDTKACIFKDYDPLPFKCQSAAVKAAVGVGAGAAAGIAIGGAIALGLAAFGGKRGYDAWKSSRDNQIQTSSENPLYNPNPNQGDNPLYAANNS