Q90X48 AF NFT

Probable UDP-sugar transporter protein SLC35A5

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaw6wen6edef5pfe7tp6pmu7ojxoogipludh2krei4getbijtphtu/metadata.json
IPFS of structure file: 
bafybeif57fabuw64nes5yjy2dvkvpetv3rh4lxlqqq7qrwu2tepy5gzklu/AF-Q90X48-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF8cD1d8d93E9783063700De244A6e3cf6A195579
First NFT owner address (bech32): 
genesis1lrx3mrvna9urqcmsph3yffhrea4pj4tedrk7yh
Current NFT ID #418928 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
418928
Accession (UniProt):
Q90X48
Name::
Probable UDP-sugar transporter protein SLC35A5
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 Q90X48 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q90X48|S35A5_DANRE Probable UDP-sugar transporter protein SLC35A5 OS=Danio rerio OX=7955 GN=slc35a5 PE=2 SV=1 MSFTMARYSSSSSSASSSSCGCCRPCSRICSRSSAYTLALGLGFVTLGTSRILLLKFSGNEENKYDYLPASVNLMAEAIKLVFCLVMSVRVIIREGRSFKDLGCSSGASFLSYLKWSVPAFLYFLDNLIIFYVIAYLQPAMAVLFSNIVIFTTAFLFRVVLKRRLSWVQWASLIILFLSIVSLTTGNGDQHAMAVHGLHPAHISTPSNSCLKYTHLHQVHQSHNESYWSRELWDSQLIHKLNSFGLGYVLLLLQCFISALANIYNEKILKEGEQLVESIFIQNSKLYLFGLVFNSLTLLLHADYRNLTLHCGILYGHNVFSVALGFVTAALGLSVAFILKFRDNMFHVLTGQITTVVVTALSFFLFDFQPSMDFFMQAPVVLLSIFIYHSSKMKDPEYALQQERLRVINGEVFERSRGDGEELERLTKANTESESEEESF