P40523 AF NFT

Uncharacterized protein YIL055C

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicfw3rcz6lyt6fvnkjzrefu2vw4zsm2hvlfh2siwb2chjf7gxvope/metadata.json
IPFS of structure file: 
bafybeigyzq3v4pnsuw3qzvb6fyokhpypqez7lexo5offpn5blxroxjejky/AF-P40523-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd302f04514ad817d3281793c7434A949dEEd5b52
First NFT owner address (bech32): 
genesis16vp0q3g54kqh6v5p0y78gd9ff80w6k6jydc3f9
Current NFT ID #532766 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532766
Accession (UniProt):
P40523
Name::
Uncharacterized protein YIL055C
Experimental Method:
Predicted structure
Sequence source:
SACCHAROMYCES CEREVISIAE (STRAIN ATCC 204508 / S288C)

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 P40523 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P40523|YIF5_YEAST Uncharacterized protein YIL055C OS=Saccharomyces cerevisiae (strain ATCC 204508 / S288c) OX=559292 GN=YIL055C PE=1 SV=1 MTLEPHYSAKSAASASAFVARSATESSTASTKAAPRKKTYSQSNGIPIRIDNLPPGKTWAQVKYLIGGIIYHTNILQVKMLPPMTSMVPPFITFQSCIVILKNSIDNESLENLLLTLNTYQWDYHDLFVYLLPYTNDSPSLRYPEISDSNNDVRSAPDETKRSISPRYASHVSSVTPQPPSASTPPSQFFSFSPEVSLRKNENITPLPTPVPVPVGVPPLAPPPHGPFSTSMLPMLGAPPGTVPNMQMPYQTTLPSPTAAATAGGPLASPTHYPRRRHFYHQNQSQFQKYMHNSPRNPDTGTGPRLSQQHHLSLRNNKINPSYNEISALYNLNMASNSNNNGNIPTTSTNGDDRALQAKNGGTITPSQTQINHKRLKHIFNEKSFRKQMTNRGMWQLKIINFPPYIPIEFLEKLSESDFNELMNQEKFTVIEIKEKGQLEKFGRLRWTVLKDFIKLKCPKLLRLQERQFLQQQNEASLLNESMDALKISENENTNGSANNSTYTNGGPRTSINNTREFYVGVYEDHEEATLLRFELPEDELEEFNRNLPTTFAQSGNVSDSEGDSKAKYFKVSTIVYNAIVGFHDKELSDLTFESLQDQEYSLGYKIHVMELPPFDEDEFENQRQQF