A0RD97 AF NFT

Formate--tetrahydrofolate ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicedgztia4ba5uts27afzqjoyhqazkg74zgfkdvd6xl6tmpqw5lfq/metadata.json
IPFS of structure file: 
bafybeicwt7ydzmoam742msf7gwbdecukydbcvz4td5dfrd5pikigzxqi3e/AF-A0RD97-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x32487a5305f4984ca258817a77b56Dc58ab8670B
First NFT owner address (bech32): 
genesis1xfy855c97jvyegjcs9a80dtdck9tsectly3ckr
Current NFT ID #136689 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
136689
Accession (UniProt):
A0RD97
Name::
Formate--tetrahydrofolate ligase
Experimental Method:
Predicted structure
Sequence source:
Bacillus thuringiensis (strain Al Hakam)

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 A0RD97 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0RD97|FTHS_BACAH Formate--tetrahydrofolate ligase OS=Bacillus thuringiensis (strain Al Hakam) OX=412694 GN=fhs PE=3 SV=2 MTTTTTVKSDIEIAQEASMKKIQEIAADLNILEDELEPYGHYKGKLSLDIFKRLQNEKDGKVVLVTAINPTPAGEGKSTVTVGLGQAFNKIGKKTVIALREPSLGPTMGLKGGAAGGGFSQVVPMEDINLHFTGDIHAITTANNALAAFIDNHIQQGNTLGIDTRKIVWKRCVDLNDRALRNVVIGLGGPVQGVPREDGFDITVASEIMAVFCLATDIQDLKARLSRIVVAYNFANQPVTVKDLGVEGALTLLLKDALKPNLVQTLENTPAIIHGGPFANIAHGCNSVIATTMAAKLGDYVITEAGFGADLGAEKFLDIKARAAGIKPEAVVIVATIRALKMHGGVAKDQLKEENVDALAKGMENLQKHVETIQSFGVPFVIAINKFITDTDAEVAYLQEWCNERGYAVSLTEVWEKGGQGGVDLAEKVLKEIEKGENNYAPLYELELPLEEKIRTIAQKVYGAKDIEFAPKARKQLAQYEGEGWSNLPICMAKTQYSLSDDATKLGRPSDFIVTIRELKPSIGAGFIVALTGTMLTMPGLPKQPAALQMDVNEDGKAVGLF