O13781 AF NFT

Uncharacterized protein C17G6.03

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihjh4h5ssnlfpe47abwm3h7zg6khyqw75m64qdtvfug2pmiyieo3q/metadata.json
IPFS of structure file: 
bafybeicpx6rybjccl7arqfcihon54ql3aqklhs5j57tvaaawhtoofe2h3u/AF-O13781-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd10960F956646DE8b64d3598984c91C2d5Af3D7b
First NFT owner address (bech32): 
genesis16yykp72kv3k73djdxkvfsny3ct2670tm7h5hjv
Current NFT ID #529467 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
529467
Accession (UniProt):
O13781
Name::
Uncharacterized protein C17G6.03
Experimental Method:
Predicted structure
Sequence source:
SCHIZOSACCHAROMYCES POMBE (STRAIN 972 / ATCC 24843)

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 O13781 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O13781|YEO3_SCHPO Uncharacterized protein C17G6.03 OS=Schizosaccharomyces pombe (strain 972 / ATCC 24843) OX=284812 GN=SPAC17G6.03 PE=3 SV=1 MKPAHTFSLIFSLLFVINPCYSATLPLAIRRELTWGQVNILHTTDIHGWLAGHARDKRYSGDLGDFASFVQHMKHLAKQKDVDLLLVDTGDLHDGTGLSDLTDPPGSWTDSLLANMDYDILVAGNHELYLSTVANDTYHNFIPLWEGRYLAANIDIYDEHVSSFVPFGDRYAIFSTPHNVKILAFGFVNSFSGATDTVRVLPVSQFSLQPWWNDMVSNKDIDLILIPAHVPVHNASELDIVLSELRIHFPTTPIQVLGGHSHIRDYAIYDEKAVGIESGRYCETVGWVSINGIPSFKSLVKLSGISSLMGVESYLAERLRFIGESIRRSSQQIFSSLQSAKSASVSFSRSYIDWNPEGFMFHSKTKKSSFNTSLGEFISNGIYEARKALGLLTPIGCSPKKFAFSEVPFNDSNSIYHLFQSELFPKIVVNESRHHIPHYIIVNSGGIRGGLNSGAFGLDEVFQVCPFKSNIFYVLKDVPWSITKYLPQALQHSGYLIAEDTLQINTPQVSDAKFEDFYEHSIRKTYGYTTHDDLGDDGDDTAHLTTPHYEPLRFICSQVGFDDSFSGDDKQVVDVVAPSFVIPRLDDILNKIADKPLYSPDDWELYFTRPDGKHSMTDLLPLYADLYWDHDCLYK