Q9WV80 Sorting nexin-1 MolNFT, Molecular NFT on GenesisL1

Sorting nexin-1

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeibc6swfench5mjywet7vliwr7ch3pa742ygrhbjtd6ntr4t3dfnay/metadata.json

IPFS of structure file:

bafybeic5n6rrlc7t2fus5ttpzpcbzcbklkxhzxsm4wzsgz4zaqewptn34a/AF-Q9WV80-F1-model_v2.pdb

First NFT owner address (eip-55):

0xd91633319BDB0a92cbC4f08DeA734Bf74C030064

First NFT owner address (bech32):

genesis1mytrxvvmmv9f9j7y7zx75u6t7axqxqry8u4g92

Current NFT ID #431979 owner (web3):

0xd91633319BDB0a92cbC4f08DeA734Bf74C030064

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
431979
Accession (UniProt):
Q9WV80
Name::
Sorting nexin-1
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q9WV80 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9WV80|SNX1_MOUSE Sorting nexin-1 OS=Mus musculus OX=10090 GN=Snx1 PE=1 SV=1 MASGGGGCSASERLPPPFPGMDPESEGAAGASEPEAGDSDTEGEDIFTGAAAATKPQSPKKTTSLFPIKNGSKENGIHEDQDQEPQDLFADATVELSLDSTQNNQKTMPGKTLTSHSPQEATNSPKPQPSYEELEEEEQEDQFDLTVGITDPEKIGDGMNAYVAYKVTTQTSLPMFRSRQFAVKRRFSDFLGLYEKLSEKHSQNGFIVPPPPEKSLIGMTKVKVGKEDSSSAEFLEKRRAALERYLQRIVNHPTMLQDPDVREFLEKEELPRAVGTQALSGAGLLKMFNKATDAVSKMTIKMNESDIWFEEKLQEVECEEQRLRKLHAVVETLVNHRKELALNTALFAKSLAMLGSSEDNTALSRALSQLAEVEEKIEQLHQEQANNDSFLLAELLSDYIRLLAIVRAAFDQRMKTWQRWQDAQATLQKKRESEARLLWANKPDKLQQAKDEITEWESRVTQYERDFERISTVVRKEVTRFEKEKSKDFKNHVMKYLETLLHSQQQLAKYWEAFLPEAKAIS

Q9WV80 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q9WV80 research and analysis (ICN3D with VR)

FASTA sequences

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