Q83WS0 AF NFT

Formate--tetrahydrofolate ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicqov2mix64aqdcp5ipsmjg24vcmd7u3f6e6335h6rzvl3zgkpsci/metadata.json
IPFS of structure file: 
bafybeicyyodqhe6c3nkucwflayeelxfvj52ospwdabe2kbo4mdfpua7qvu/AF-Q83WS0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbD6cf980ad8408d7f6AFc9af4F12d42b6F64d623
First NFT owner address (bech32): 
genesis1h4k0nq9dssyd0a40exh57yk59dhkf43rqqysjw
Current NFT ID #136801 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
136801
Accession (UniProt):
Q83WS0
Name::
Formate--tetrahydrofolate ligase
Experimental Method:
Predicted structure
Sequence source:
METHYLORUBRUM EXTORQUENS (STRAIN ATCC 14718 / DSM 1338 / JCM 2805 / NCIMB 9133 / AM1)

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 Q83WS0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q83WS0|FTHS_METEA Formate--tetrahydrofolate ligase OS=Methylorubrum extorquens (strain ATCC 14718 / DSM 1338 / JCM 2805 / NCIMB 9133 / AM1) OX=272630 GN=fhs PE=1 SV=3 MPSDIEIARAATLKPIAQVAEKLGIPDEALHNYGKHIAKIDHDFIASLEGKPEGKLVLVTAISPTPAGEGKTTTTVGLGDALNRIGKRAVMCLREPSLGPCFGMKGGAAGGGKAQVVPMEQINLHFTGDFHAITSAHSLAAALIDNHIYWANELNIDVRRIHWRRVVDMNDRALRAINQSLGGVANGFPREDGFDITVASEVMAVFCLAKNLADLEERLGRIVIAETRDRKPVTLADVKATGAMTVLLKDALQPNLVQTLEGNPALIHGGPFANIAHGCNSVIATRTGLRLADYTVTEAGFGADLGAEKFIDIKCRQTGLKPSAVVIVATIRALKMHGGVNKKDLQAENLDALEKGFANLERHVNNVRSFGLPVVVGVNHFFQDTDAEHARLKELCRDRLQVEAITCKHWAEGGAGAEALAQAVVKLAEGEQKPLTFAYETETKITDKIKAIATKLYGAADIQIESKAATKLAGFEKDGYGGLPVCMAKTQYSFSTDPTLMGAPSGHLVSVRDVRLSAGAGFVVVICGEIMTMPGLPKVPAADTIRLDANGQIDGLF