B2ACV0 AF NFT

Putative glutathione-dependent formaldehyde-activating enzyme

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid6ld4di54is47wxenlykzsyqivzzyb54faxsjk56436fz7uy5fjq/metadata.json
IPFS of structure file: 
bafybeietkqfxeb4i7lerfaliv7piin4ebljqe5yvhujctuxpglshkwcfbm/AF-B2ACV0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x59018c174d1Ecad02850b8c56eDC5A53F1C2d4c5
First NFT owner address (bech32): 
genesis1tyqcc96drm9dq2zshrzkahz620cu94x9rmss32
Current NFT ID #146642 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
146642
Accession (UniProt):
B2ACV0
Name::
Putative glutathione-dependent formaldehyde-activating enzyme
Experimental Method:
Predicted structure
Sequence source:
PODOSPORA ANSERINA (STRAIN S / ATCC MYA-4624 / DSM 980 / FGSC 10383)

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 B2ACV0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B2ACV0|GFA_PODAN Putative glutathione-dependent formaldehyde-activating enzyme OS=Podospora anserina (strain S / ATCC MYA-4624 / DSM 980 / FGSC 10383) OX=515849 GN=Pa_3_11350 PE=3 SV=3 MVSLHPLLDNGITPGSDSFPGGTLKCLCPSFPVEITLTTNVAHNHACGCSKCWKPAGALFSIVGVVPRDELSVTANGDKLAIVDESAVIQRYACKECGTHLYRRIEKEHPFYGLDFVHAELSEEEGWQEPQFAAFVSSVIEQGFDPAKIGEVRARFRELGLETYDSLSPPLMDAIAAWTGRKNGKYDLHSWLDCERRKGGGGGGQPGGVVCRL