C4ZBG8 AF NFT

Formate--tetrahydrofolate ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicmorisbjrcwvwjfuf7egeerc5raf4vgjz63kn7pjejgapmeymn44/metadata.json
IPFS of structure file: 
bafybeifsl4e62bswuizxputj3z7touyluowl27i447xpuyj65oywx4x3zi/AF-C4ZBG8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x795B30fA999F90F224362808144752F0c0125c76
First NFT owner address (bech32): 
genesis109dnp75en7g0yfpk9qypg36j7rqpyhrksyu6wt
Current NFT ID #136678 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
136678
Accession (UniProt):
C4ZBG8
Name::
Formate--tetrahydrofolate ligase
Experimental Method:
Predicted structure
Sequence source:
AGATHOBACTER RECTALIS (STRAIN ATCC 33656 / DSM 3377 / JCM 17463 / KCTC 5835 / VPI 0990)

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 C4ZBG8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C4ZBG8|FTHS_AGARV Formate--tetrahydrofolate ligase OS=Agathobacter rectalis (strain ATCC 33656 / DSM 3377 / JCM 17463 / KCTC 5835 / VPI 0990) OX=515619 GN=fhs PE=3 SV=1 MKTDIQIAQEATMLPIKDVAASIGIEEDDLELYGKYKAKISDELINRTKKNPDGKLILVTAINPTPAGEGKTTTSVGLGEAFGRLGKKALIALREPSLGPCFGIKGGAAGGGYAQVVPMEDLNLHFTGDFHAITSANNLLAALLDNHIQQGNELGIDPRQIVWKRCMDMNDRVLRNIVVGLGSKMDGMVREDHFVITVASEIMAILCLADDMADLKKRLGRIIVAYTFDGKPVTADDLQATGSMAALLKDALKPNLIQTLEHTPAIVHGGPFANIAHGCNSVRATKTALKLADYVITEAGFGADLGAEKFFDIKCRMAGLKPDAVVLVATIRALKYNGGVPKDELSSENLDALKAGIVNLEKHIENLHKFGVPVVVTLNSFVTDTKAETDFVEQFCKERGCEFALSEVWEKGGEGGIDLANKVLETIEHKESNFKVLYDDSLSLKEKIETVAKEIYGADGVTYSPAAERELKRITDLGMGDFPVCMAKTQYSLSDDAKKLGRPSGFKINVREVYASAGAGFVVAVNGSIMTMPGLSKKPAAYGIDVDDNGVITGLF