P0CR65 AF NFT

Sorting nexin-41

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiapey75f2ckkqccdkt6zrsifistiamet7wntooqvydvjj42poe4oy/metadata.json
IPFS of structure file: 
bafybeiazwj72lfzq4wy73rwda474lifu5wznk7vdlvpdxfmew2w4gy35z4/AF-P0CR65-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBEc3AA10142B8a17933a4cBFcEC73dbF1D48a5ED
First NFT owner address (bech32): 
genesis1hmp65yq59w9p0ye6fjlua3eahuw53f0d68538f
Current NFT ID #432045 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
432045
Accession (UniProt):
P0CR65
Name::
Sorting nexin-41
Experimental Method:
Predicted structure
Sequence source:
Cryptococcus neoformans var. neoformans serotype D (strain B-3501A)

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 P0CR65 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0CR65|SNX41_CRYNB Sorting nexin-41 OS=Cryptococcus neoformans var. neoformans serotype D (strain B-3501A) OX=283643 GN=SNX41 PE=3 SV=1 MDSDTSPNPFASSPPSSPSPRPSLPPPVPRKPSSLVSAASGSPPPTHRASFPDPARHPKMGATVPGPKPKTGYCCSIDKDISAGEQVHIVDALKTTEGGTASYITYVIRLGTHTVRRRYSAFLSLHQSLTGLYPVLIIPPIPSKQSLTDYAVKGQSKAREDATIIARRKRLLEDFLQRLIRHPILGGEHVLHRFLEEDVSWSEVLHSPPISLLSKNPLHAPSHNPTFQPTTPTSPSEAPATTSYIAHHLLPTPSPSHPLRQPDQRFMDSEAFTEKFQSHFSGTMEKVNRRVTKRWGERAHDMSELGGIWNGFSLVEQGKLGDAIEKVGRAVDAEYLATAALLQSWEKTTTEPLHIYSQFATLIRARLSFRHQKHVQYELVQEALETQRDKLEILENAEREARRLEEALERGGSVLASPQLEPEAARDERERAQRRARASQGFGLLSAVKHSLSGMIDMDPEATRRANIAKTRDNISQLEDSYQAAAQDLKYASMTLQADLDRFQRQKVADLREMAINLSQVHRDWCKQNLEAWKAAQAAVREIDPHPNRPAQTQTQVQSQQSHAGPSTLHAQTEDDVSKLGVDAMKNEIERVEIEIADKPLPKPSLAETGGDGVVPSPQPRQENDTEEREGHGPLGPL