C9S7Z6 AF NFT

Putative glutathione-dependent formaldehyde-activating enzyme

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiegd4poffvio3bclsg3z6cz5tsvnnkzid2q7hn47l2tgt7n7zbpfa/metadata.json
IPFS of structure file: 
bafybeifatxmzsnr6e2uq2hd2vaxnnuyblmcgt7gjd4j4sxyhmxzwlfmuvm/AF-C9S7Z6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB44F19a0cb161828322eEEd13F55d4C3C34938d2
First NFT owner address (bech32): 
genesis1k383ngxtzcvzsv3wamgn74w5c0p5jwxjy9e46q
Current NFT ID #146651 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
146651
Accession (UniProt):
C9S7Z6
Name::
Putative glutathione-dependent formaldehyde-activating enzyme
Experimental Method:
Predicted structure
Sequence source:
Verticillium alfalfae (strain VaMs.102 / ATCC MYA-4576 / FGSC 10136)

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 C9S7Z6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C9S7Z6|GFA_VERA1 Putative glutathione-dependent formaldehyde-activating enzyme OS=Verticillium alfalfae (strain VaMs.102 / ATCC MYA-4576 / FGSC 10136) OX=526221 GN=VDBG_01395 PE=3 SV=1 MSFPLHPSLVNGITKGNPSFQGGVLKCKCSTSPVTVTLRSNVAHNHACGCSKCWKPEGALFSIVSVVPVDKLEVTANGDKLAVVDPSATILRHACTGCGVHLYGRIEKDHAFKGLDFVHTELSDEKGWQEPQFAGFVTSIIEQGFDARHIDDVRAQFESLGLESYDALNPPLMNAIAAFTAANEAKA