L0R6Q1 AF NFT

SLC35A4 upstream open reading frame protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicqb3au4leh7tabmf3dleaekyy2bv7qgrliabksbbvariuituzvum/metadata.json
IPFS of structure file: 
bafybeia6rtjvifjln4erkztqc6ntctwjuwbibb3hpzgsh3pvd7gpujqlli/AF-L0R6Q1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9083d02dD1150e409871618C7e012e864fA13fe4
First NFT owner address (bech32): 
genesis1jzpaqtw3z58ypxr3vxx8uqfwse86z0lym6kjnw
Current NFT ID #419023 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
419023
Accession (UniProt):
L0R6Q1
Name::
SLC35A4 upstream open reading frame protein
Experimental Method:
Predicted structure
Sequence source:
HOMO SAPIENS

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 L0R6Q1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|L0R6Q1|S35U4_HUMAN SLC35A4 upstream open reading frame protein OS=Homo sapiens OX=9606 GN=SLC35A4 PE=3 SV=1 MADDKDSLPKLKDLAFLKNQLESLQRRVEDEVNSGVGQDGSLLSSPFLKGFLAGYVVAKLRASAVLGFAVGTCTGIYAAQAYAVPNVEKTLRDYLQLLRKGPD