Q9VHT4 AF NFT | MOLNFT bioinformatics, blockchain

GDP-fucose transporter 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeidn7aoyecchzh77vueynwcpim4mosluvh4wklqbdemgdiu47oeqja/metadata.json

IPFS of structure file:

bafybeif3v7orgrcgnlt7zad3k4fdbrwup4beyet5gz62dvgowtusm6qcuu/AF-Q9VHT4-F1-model_v2.pdb

First NFT owner address (eip-55):

0x8E72F2119bF02e08301950023b4779D3C5F1Eaaa

First NFT owner address (bech32):

genesis13ee0yyvm7qhqsvqe2qprk3me60zlr642q2f2u4

Current NFT ID #138128 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
138128
Accession (UniProt):
Q9VHT4
Name::
GDP-fucose transporter 1
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 Q9VHT4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9VHT4|FUCT1_DROME GDP-fucose transporter 1 OS=Drosophila melanogaster OX=7227 GN=nac PE=1 SV=1 MYKNLEEHNRLVNKYLKIFFVVSLYWCTSILTVFVNKHLLSSDTVNLGAPLFMSWFQCVVSTVICFVASRLSRKYPSVFTFPEGNPLDIDTFRKILPLSVLYTLMIGANNLSLSYVTVAFYYIGRSLTTVFSVVLTYVILRQRTSFKCLLCCGAIVVGFWLGVDQESLTEVFSWRGTIFGVLSSLALAMFSIQTKKSLGYVNQEVWLLSYYNNLYSTLLFLPLIIINGELESIITYPHLWASWFWAAMTLSGLCGFAIGFVTALEIKVTSALTHNISGTAKACAQTVIATQYYHDVRSALWWTSNVVVLVASAAYTRVKQLEMMRQHQQRSTATQKA