Q55680 AF NFT

Uncharacterized protein sll0005

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigntg54rnkoad7vrwwabjoqirm2ghja4iyaoho3iivzrqbswb7xda/metadata.json
IPFS of structure file: 
bafybeifdswcfarzyzjyubpfprdkv7ej4boqdvntqgsk45o63csbqs7mh4m/AF-Q55680-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC44446ee48911F8bE8310230f0ddcd95EccE6A09
First NFT owner address (bech32): 
genesis1c3zydmjgjy0ch6p3qgc0phwdjhkvu6sfvc7tav
Current NFT ID #502622 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
502622
Accession (UniProt):
Q55680
Name::
Uncharacterized protein sll0005
Experimental Method:
Predicted structure
Sequence source:
SYNECHOCYSTIS SP. (STRAIN PCC 6803 / KAZUSA)

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 Q55680 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q55680|Y005_SYNY3 Uncharacterized protein sll0005 OS=Synechocystis sp. (strain PCC 6803 / Kazusa) OX=1111708 GN=sll0005 PE=3 SV=1 MSPAPMPVTTAEQDRDVVVIDAVVEEVRPPRLPKSHLEDLGPVSDMFPESWEYHPDLIMEFYRKRPLQVLGRLINILFPLLRFILGIWWEKLRGKDPTVSRAKAIQLRELLTNLGPTYIKVGQALSTRPDLVPPVFLDELTTLQDQLPSFPNEVAYRFIEEELGAPAEEIYAELSPEPIAAASLGQVYKGKLKTGEAVAVKVQRPDLVRRITLDIYIMRSLSLWARRSVKRLRSDLVAITDELASRVFEEMNYYQEAINGEKFAQLYGSLPEIYVPSIYWQYTGRRVLTMEWVEGIKLTNIKAIQAQGIDATHLVEVGVQCSLRQLLEHGFFHADPHPGNLLAMADGRLAYLDFGMMSTIQPYQRYGLIEAVVHLVNRDFDSLAKDYVKLDFLKPDTDLKPIIPALGQVFGNALGASVAELNFKSITDQMSAMMYEFPFRVPAYYALIIRSMVTLEGIAIGIDPNFKVLSKAYPYIAKRLLTDQSEELRTSLKELLFKEGSFRWNRLENLLRNAKNSPGFDFDYVLNEATEFLLSDRGQFIRDRLVAELVNSIDQLGRNTWQQVSHNIQERISFLGDLGNGNGKAHQTKTIKVVPQPAIAQQEETWQHLQNLWQILKETPGFDPLKFVPVLSQIIVNPTSRRMGQQVAEGLLQKAIARVIRQWALALESQPNPAIKIRNAA