Q90827 AF NFT

Protein NEL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifs2rc6i4vbgahfwo4idckzvcfyhawptvwxopati5klyuzhr33dbu/metadata.json
IPFS of structure file: 
bafybeia2m4texx5aesvpiitr4oom3aoosiz3sbqzgkuley2ulhuovgkxei/AF-Q90827-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x05AE9FA8dE2A69C3b73cE5754D771B45C078eBf2
First NFT owner address (bech32): 
genesis1qkhfl2x79f5u8deuu4656acmghq836ljj6x37t
Current NFT ID #263032 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
263032
Accession (UniProt):
Q90827
Name::
Protein NEL
Experimental Method:
Predicted structure
Sequence source:
GALLUS GALLUS

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 Q90827 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q90827|NEL_CHICK Protein NEL OS=Gallus gallus OX=9031 GN=NEL PE=2 SV=1 MESGCGLGTLCLLLCLGPVVGFGVDPSLQIDVLSELGLPGYAAGVRQVPGLHNGSKAFLFPDTSRSVKASPETAEIFFQKLRNKYEFTILVTLKQAHLNSGVIFSIHHLDHRYLELESSGHRNEIRLHYRTGSHRSHTEVFPYILADDKWHRLSLAISASHLILHVDCNKIYERVVEKPFMDLPVGTTFWLGQRNNAHGYFKGIMQDVQLLVMPQGFISQCPDLNRTCPTCNDFHGLVQKIMELQDILAKTSAKLSQAEQRMNKLDQCYCERTCTMKGMTYREFESWTDGCKNCTCMNGTVQCEALICSLSDCPPNSALSYVDGKCCKECQSVCIFEGRTYFEGQRETVYSSSGDCVLFECKDHKMQRIPKDSCATLNCPESQQIPLSHSCCKICKGHDFCTEGHNCMEHSVCRNLDDRAVCSCRDGFRALREDNAYCEDVDECAEGQHYCRENTMCVNTPGSFMCICKTGYIRIDDYSCTEHDECVTNQHNCDENALCFNTVGGHNCVCKLGYTGNGTVCKAFCKDGCRNGGACIASNVCACPQGFTGPSCETDIDECSDGFVQCDSRANCINLPGWYHCECRDGYHDNGMFSPSGESCEDIDECATGRHSCANDTVCFNLDGGYDCRCPHGKNCTGDCIHEDKIKHNGQIWVLENDRCSVCSCQSGYVMCRRMVCDCENPTVDLFCCPECDPRLSSQCLHQSGELSYNSGDSWIQNCQQCRCLQGEVDCWPLPCPEVDCEFSVLPENECCPRCVTDPCQADTIRNDITKTCLDETNVVRFTGSSWIKHGTECTLCQCKNGHVCCSVDPQCLQEL