A0JMG9 AF NFT

Probable UDP-sugar transporter protein SLC35A4

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibowvx7ldj2xklewz2ceptwmm2qebjdcy544s7dwgfc6qlxr6wjjq/metadata.json
IPFS of structure file: 
bafybeia23tvyem47gxzfzhga7h7i757qgjft6q7fkc6o4sdc54isertdgm/AF-A0JMG9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0Bd770503E1bC139C5289bf2beF9d371036A5123
First NFT owner address (bech32): 
genesis1p0thq5p7r0qnn3fgn0eta7wnwypk55frxuwhsk
Current NFT ID #418920 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
418920
Accession (UniProt):
A0JMG9
Name::
Probable UDP-sugar transporter protein SLC35A4
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 A0JMG9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0JMG9|S35A4_DANRE Probable UDP-sugar transporter protein SLC35A4 OS=Danio rerio OX=7955 GN=slc35a4 PE=2 SV=1 MIAISADESPESSSPALRLRWLFLLLLLVLIYGSHAPLLSLCKTQAQIPFSASSCVLLIETSKLFISFASLLASGSVSTLRISISMTTASPYAVPAVLYAFNNHLVVFMQAYMDPSSFQVLSNLKIASTALLYTSCLGKRLHRRQWFAMGLLVSAGVSHSCFSYDLEGKRETAVYITSWGLLLVLVYCFVSGLAAVYTERVLKSQRLPLSMQNLFLYTFGVVVNLASHLSGGEQKGFFEGYSAVVWVIVAGQVANGLLMSVVMKHGTGITRLFVISSAMLVNAVLSWGILGVQLTGYFLFPVVLIGWAVYLYYT