Q9SNY3 AF NFT

GDP-mannose 4,6 dehydratase 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihn7uqpxuv3kaulnaujm2tftlvyp2xptottdqzaom7vbs7qdxcsl4/metadata.json
IPFS of structure file: 
bafybeihimvkm2mu7qbzukqy5n4c56xc3vzkuuaai7td7xb4alx2an5zpde/AF-Q9SNY3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x52BAb491344EB8B6F0405CCB177145b1634c344D
First NFT owner address (bech32): 
genesis122atfyf5f6utduzqtn93wu29k935cdzdhh9fjw
Current NFT ID #154147 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
154147
Accession (UniProt):
Q9SNY3
Name::
GDP-mannose 4,6 dehydratase 1
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 Q9SNY3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9SNY3|GMD1_ARATH GDP-mannose 4,6 dehydratase 1 OS=Arabidopsis thaliana OX=3702 GN=GMD1 PE=1 SV=1 MASRSLNGDSDIVKPRKIALVTGITGQDGSYLTEFLLEKGYEVHGLIRRSSNFNTQRLNHIYVDPHNVNKALMKLHYGDLSDASSLRRWLDVIKPDEVYNLAAQSHVAVSFEIPDYTADVVATGALRLLEAVRSHNIDNGRAIKYYQAGSSEMFGSTPPPQSETTPFHPRSPYAASKCAAHWYTVNYREAYGLYACNGILFNHESPRRGENFVTRKITRALGRIKVGLQTKLFLGNIQASRDWGFAGDYVEAMWLMLQQEKPDDYVVATEESHTVKEFLDVSFGYVGLNWKDHVEIDKRYFRPTEVDNLKGDASKAKEMLGWKPKVGFEKLVKMMVDEDLELAKREKVLADAGYMDAQQQP