Q9KLX7 AF NFT

Formate--tetrahydrofolate ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib53g65z6tdpr7jhdsbnpva6s4nwiqjhum77x3s4qcy5vz24ly34u/metadata.json
IPFS of structure file: 
bafybeibg5tumt3bjml2t5y4lgi76hbpllpbaevwifoz7orf35dlglndqze/AF-Q9KLX7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x56b3ab1d497388E497618145205887Be58924894
First NFT owner address (bech32): 
genesis126e6k82fwwywf9mps9zjqky8hevfyjy5rfd2ll
Current NFT ID #136934 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
136934
Accession (UniProt):
Q9KLX7
Name::
Formate--tetrahydrofolate ligase
Experimental Method:
Predicted structure
Sequence source:
VIBRIO CHOLERAE SEROTYPE O1 (STRAIN ATCC 39315 / EL TOR INABA N16961)

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 Q9KLX7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9KLX7|FTHS_VIBCH Formate--tetrahydrofolate ligase OS=Vibrio cholerae serotype O1 (strain ATCC 39315 / El Tor Inaba N16961) OX=243277 GN=fhs PE=3 SV=2 MLPDIEICRATPLAPIDTIAQKAGLHANEYESHGQHKAKVSLHCLERLANKPKGKFILVTAITPTPLGEGKTVTTIGLAQGLAKLNHSVMACIRQPSMGPIFGVKGGAAGGGYSQVAPMEELNLHLTGDIHAVTAAHNLAAAAIDARIYHEQRLGYADFERRTGMPALRIDPKQVIWKRVMDHNDRALRMVTVGRNEPGKNINGYEREDGFDISAASELMAILALASDLRDLRRRIGNVVLAYDLDGNPVTTEDLKVAGAMAVSMKEAIEPTLMQTLEGVPTLIHAGPFANIAHGNSSIIADEIATRLADYTVTEGGFGSDMGFEKACNIKAKASGKTPDCAVIVATLRGLKANSGLYDLRPGQAVPDALFAPDSAALQAGFANLKWHIDNVNQYGVPAVVAINRFPQDCAEELEQLVKLIEALPNRVSVAISEGFAKGGEGTKLLAEKVVEQCQHPTKFTPLYDSGIPLDEKLKAVAVKGYGAAEIALSDKAAQQLAKLQTQGFDHLAVCLAKTPLSISTDPAIKGAPRDFIVPIRELRLCAGAEFVYALCGSVMTMPGLPEKPSFMALDIDQHGNIVGLS