Q6BHN9 AF NFT

Sorting nexin-41

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie5adg4d3wbmjpvtvfa6hkhspl4s4xz7cc675cx5fahuyng4rzqle/metadata.json
IPFS of structure file: 
bafybeiafufzi7iz3kau733j72mjfsfmflmdiuzl53ykmh7543ss6jlasx4/AF-Q6BHN9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7FDF8b382C6a36A8772D1A265E8e480c7DF0A9C1
First NFT owner address (bech32): 
genesis10l0ckwpvdgm2saedrgn9arjgp37lp2wpyzq5qn
Current NFT ID #432047 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
432047
Accession (UniProt):
Q6BHN9
Name::
Sorting nexin-41
Experimental Method:
Predicted structure
Sequence source:
Debaryomyces hansenii (strain ATCC 36239 / CBS 767 / BCRC 21394 / JCM 1990 / NBRC 0083 / IGC 2968)

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 Q6BHN9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6BHN9|SNX41_DEBHA Sorting nexin-41 OS=Debaryomyces hansenii (strain ATCC 36239 / CBS 767 / BCRC 21394 / JCM 1990 / NBRC 0083 / IGC 2968) OX=284592 GN=SNX41 PE=3 SV=2 MSKGKESKVGSSTPSFDDEEDNNPFPHMQGLASLMSEHRISNGSNIQDKGDKDNNNNNNYNNNNNNNNNNNNGDDDDDSILLYNSNNQNDSKSGLNKDTFKSIQINYESRVTRLLRPNSNVRMQITKAGNSNEGMINTSKTYIVYSIQLINNDDPSDEIQTRRRYSDFESLRDVLKKIFPLIIIPPIPPKNYFKFSMLNDLVSGNISQSSNTSSNNSTGANTSTNTTNGLGSNSTNYSYINSTHLNKNKLIEHRKRLLSNFLNNCLAIPQIRNLEFFAKFLDPNANWTDEITLISSQLPKSIYFSNPENGLKTDSIYANLPNPVGNHSINMSFWKPLQENKKKLTKKTNKILNNGNTEASSQPSTGTTSPVNHSPDFIKNKYIIDNSCLDDINKKIMANFIGLANDYTELGTIFNSFSLILSDSPMIRSAKAKNNHEEDSKLNLIFDKIGQIFDRSYITISTLIADLETKFSEPLGEAVQYSTILQFIEKFERRKVRQKRLLEDDVKDKKQELEELLKAEEGSSKIENVMHAQPISKHSGLNSRGTNSTQNVNSSIKSTNSKYKYLPNMNSFKKITQYVTDIIDQNPEQTRKQKITSLQEKIGTLEKCQGIMLQDISYITDEINKNFKSFHTKQLKIIYEILLCYNGFLVEWAKKNVDIWEEIKDEVEKL