Q9D321 AF NFT

Probable UDP-sugar transporter protein SLC35A4

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifvot3zp7znyf4w6ckfhk7hhlvdgel5ocn5px4ihm6abply7miaju/metadata.json
IPFS of structure file: 
bafybeihejjpbk7x4363dh5sjjndennvh4y3xpf2me7podqpvxi4jh2euba/AF-Q9D321-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1ED4a68B4011314730adE976b56Ad4cA21b54dcD
First NFT owner address (bech32): 
genesis1rm22dz6qzyc5wv9da9mt26k5egsm2nwdw6hzk8
Current NFT ID #418922 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
418922
Accession (UniProt):
Q9D321
Name::
Probable UDP-sugar transporter protein SLC35A4
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 Q9D321 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9D321|S35A4_MOUSE Probable UDP-sugar transporter protein SLC35A4 OS=Mus musculus OX=10090 GN=Slc35a4 PE=2 SV=1 MSVEDGGVPGLARPRQARWTLLLFLSTAMYGAHAPFLALCHVDGRVPFRPSSAVLLTELTKLLLCAFSLLVGWQTWPQGTPPWRQAVPFALSALLYGANNNLVIYLQRYMDPSTYQVLSNLKIGSTALLYCLCLGHRLSARQGLALLLLMAAGACYASGGFQEPVNTLPGPASAAGAHPMPLHITPLGLLLLILYCLISGLSSVYTELIMKRQRLPLALQNLFLYTFGVILNFGLYAGSGPGPGFLEGFSGWAVLVVLNQAVNGLLMSAVMKHGSSITRLFIVSCSLVVNAVLSAVLLQLQLTAIFFLAALLIGLAVCLYYGSP