A7EGK5 AF NFT

Nuclear protein localization protein 4

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihhpodkqvssryvvofqvka3lycqopcac6susfyowakbp26mgkcen7e/metadata.json
IPFS of structure file: 
bafybeidenbk5ojzuzfsiiitv22uiwclgdd47wtsiaomhrm7gzzyugrymga/AF-A7EGK5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5b13c9115B53001a236cd5DD3D2992124e9b8fF1
First NFT owner address (bech32): 
genesis1tvfujy2m2vqp5gmv6hwn62vjzf8fhrl3wjk3yv
Current NFT ID #268227 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
268227
Accession (UniProt):
A7EGK5
Name::
Nuclear protein localization protein 4
Experimental Method:
Predicted structure
Sequence source:
Sclerotinia sclerotiorum (strain ATCC 18683 / 1980 / Ss-1)

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 A7EGK5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7EGK5|NPL4_SCLS1 Nuclear protein localization protein 4 OS=Sclerotinia sclerotiorum (strain ATCC 18683 / 1980 / Ss-1) OX=665079 GN=npl4 PE=3 SV=1 MLLRFRGPDGTVRIAVEANETFGQLGDKLLKLLPENLDPRTLTLSNAPSGGEVKLLMEIARAKVSQIGLKNGDMVFINYKLLDNLPNGNSTTSTSTTHSSHLTSSTNRLNGSAVLPESIPVNVPAQAVTSPSEKIKNPWEVVQQSDLDNRLDKKDGKIPRKRDTKMCRHGEKGMCDYCMPLEPFNAQYLAEKKIKNLSFHSYLRKINSATNKPELGSSFMPPLTEPYYRVKKNCPSGHPQWPEGICTKCQPSAITLQPQEFRMVDHVEFAQASLVENLLVFWRSTGAQRFGYLYGRYEEYTEVPLGVKAVVEAIYEPPQVDELDGITLNKWESEKDVDEMARLCGMERVGVIWTDLLDSGAGDGTVICKRHIDSYYLSSLEIAFAARLQAKHPKPTKWSDTGKFGSNFVTCVVTADETGGIAISAYQVSNTAVEMVRADIVEPSADPAVMIVRSEGDDDSDTSARYIPEVFYRKINEYGRSVQENAKPSFPVEYLLVTLTHGFPSDPKPAFMAKNSFTIENRLVIGQEQDIKDVGKQLGLDKNGQLTQSSDGVLAVSDFHLLCYIYSMGILSKEEMALLCRVATQHDLADGYQLIATPGWANFLAILQSTG