P20480 AF NFT

Protein claret segregational

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibmtjbz4kvw6scco2dacqqu2qb4pcaqzotmk2dnp5h3soojjrlxiy/metadata.json
IPFS of structure file: 
bafybeibmshmydp4jevpyuyl2eeekiu32k6h2wcvqfcpp35afct7yahpyja/AF-P20480-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9E13F516A94FCAecEf11E7A30be20A6A86Bbb8dd
First NFT owner address (bech32): 
genesis1ncfl294ffl9wemc3u73shcs2d2rthwxaz0028c
Current NFT ID #260076 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
260076
Accession (UniProt):
P20480
Name::
Protein claret segregational
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 P20480 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P20480|NCD_DROME Protein claret segregational OS=Drosophila melanogaster OX=7227 GN=ncd PE=1 SV=1 MESRLPKPSGLKKPQMPIKTVLPTDRIRAGLGGGAAGAGAFNVNANQTYCGNLLPPLSRDLNNLPQVLERRGGGARAASPEPMKLGHRAKLRRSRSACDINELRGNKRTAAAPSLPSIPSKVSRLGGALTVSSQRLVRPAAPSSITATAVKRPPVTRPAPRAAGGAAAKKPAGTGAAASSGAAAAAPKRIAPYDFKARFHDLLEKHKVLKTKYEKQTEDMGELESMPQQLEETQNKLIETESSLKNTQSDNECLQRQVKQHTAKIETITSTLGRTKEELSELQAIHEKVKTEHAALSTEVVHLRQRTEELLRCNEQQAAELETCKEQLFQSNMERKELHNTVMDLRGNIRVFCRIRPPLESEENRMCCTWTYHDESTVELQSIDAQAKSKMGQQIFSFDQVFHPLSSQSDIFEMVSPLIQSALDGYNICIFAYGQTGSGKTYTMDGVPESVGVIPRTVDLLFDSIRGYRNLGWEYEIKATFLEIYNEVLYDLLSNEQKDMEIRMAKNNKNDIYVSNITEETVLDPNHLRHLMHTAKMNRATASTAGNERSSRSHAVTKLELIGRHAEKQEISVGSINLVDLAGSESPKTSTRMTETKNINRSLSELTNVILALLQKQDHIPYRNSKLTHLLMPSLGGNSKTLMFINVSPFQDCFQESVKSLRFAASVNSCKMTKAKRNRYLNNSVANSSTQSNNSGSFDK