K4GKX2 UDP-glycosyltransferase 73C10 MolNFT, Molecular NFT on GenesisL1

UDP-glycosyltransferase 73C10

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeicn7zgkvkc26iixpriclpehhpmead5k5ngyb4qf3je4tx3ewhq5r4/metadata.json

IPFS of structure file:

bafybeifnyz7jgy6brggjsdtoq64wx4bk7k3sh2exqdudiqaj3bdt6crwne/AF-K4GKX2-F1-model_v2.pdb

First NFT owner address (eip-55):

0x9B130d619fCFc21d0D08E5Ce38Cf42A5fbe230CB

First NFT owner address (bech32):

genesis1nvfs6cvlelpp6rgguh8r3n6z5ha7yvxthx8q26

Current NFT ID #2014 owner (web3):

0x724F204c1F271291cea502F5A6A3FF63e4D5d7DE

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
2014
Accession (UniProt):
K4GKX2
Name::
UDP-glycosyltransferase 73C10
Experimental Method:
Predicted structure
Sequence source:
Barbarea vulgaris

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 K4GKX2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|K4GKX2|73C10_BARVU UDP-glycosyltransferase 73C10 OS=Barbarea vulgaris OX=50459 GN=UGT73C10 PE=1 SV=1 MVSEITHKSYPLHFVLFPFMAQGHMIPMVDIARLLAQRGVKITIVTTPHNAARFENVLSRAIESGLPISIVQVKLPSQEAGLPEGNETFDSLVSTKLLVPFFKAVNMLEEPVQKLFEEMSPQPSCIISDFCLPYTSKIAKKFNIPKILFHGMCCFCLLCMHVLRKNREILENLKSDKEHFVVPYFPDRVEFTRPQVPLATYVPGEWHEIKEDMVEADKTSYGVIVNTYQELEPAYANGYKEARSGKAWTIGPVSLCNKVGADKAERGNKADIDQDECLKWLDSKEEGSVLYVCLGSICSLPLSQLKELGLGLEESQRPFIWVVRGWEKNKELLEWFSESGFEERVKDRGLLIKGWSPQMLILAHHSVGGFLTHCGWNSTLEGITSGVPLLTWPLFGDQFCNQKLVVQVLKVGVSAGVEEVTNWGEEEKIGVLVDKEGVKKAVEELMGESDDAKEIRKRVKELGQLAHKAVEEGGSSHSNITSLLEDIMQLAQPNN

K4GKX2 AF NFT

MOLNFT AF v1

NFT data

MOLNFT K4GKX2 research and analysis (ICN3D with VR)

FASTA sequences

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