Q4VAA7 AF NFT

Sorting nexin-33

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiabihqch2yn2gov3uto3c4zrereoywd4ueomrxb2qokwbnp3mtinu/metadata.json
IPFS of structure file: 
bafybeif3i64avqrlbzzczwpinyh3e5bhql72vqd56lnw2petlhuvmu553i/AF-Q4VAA7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0cf0de7C33C7d40E89b93615e67E93838e943754
First NFT owner address (bech32): 
genesis1pncdulpncl2qazdexc27vl5nsw8fgd65yak4mx
Current NFT ID #432021 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
432021
Accession (UniProt):
Q4VAA7
Name::
Sorting nexin-33
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 Q4VAA7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4VAA7|SNX33_MOUSE Sorting nexin-33 OS=Mus musculus OX=10090 GN=Snx33 PE=1 SV=1 MALKGRALYDFHSENKEEISIQQDEELVIFSETSLDGWLQGQNSRGETGLFPASYVEIVRPGISTNHVDYSNSPAGSLGTQGSLYSSPSMASPARSGGGSGFLSNPGSFEDDDDDDWDDWDDGCTVVEEPLAGGLGTNGHPPLNLSYPGAYPNQHMAFRPKAPLERQDSLASAKRGSVVGRNLNRFSCFVRSGVEAFILGDVPMMAKIAETYSIEMGPRGPQWKANPHPFACSIEDPTKQTKFKGIKSYISYKLTPTHAGSPVYRRYKHFDWLYNRLLHKFTVISVPHLPEKQATGRFEEDFIEKRKRRLILWMDHMTSHPVLSQYEGFQHFLSCLDDKQWKMGKRRAEKDEMVGASFLLTFQIPTEHQDLQDVEDRVDTFKAFSKKMDDSVLQLSNVAAELVRKHVGGFRKEFQKLGSAFQAISHAFQMDPPFRSDALNNAISHTGRTYETVGEMFAEQPKHDLFQMLDTLSLYQGLLSNFPDIIHLQKGAFAKVKESQRMSDEGRMAQEEADGIRRRCRVVGFALQAEMNHFHQRRELDFKHMMQSYLRQQILFYQRVGQQLEKTLHMYDHL