Q97EB3 AF NFT

Formate--tetrahydrofolate ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihcqcrqzvzsvijvg34o5uprepfhtdetnl5kpkrsx36utbouhfo25q/metadata.json
IPFS of structure file: 
bafybeif7bi7u6malc5jj27ypponomab6qnknp6r747nsqgrhqf3sl7popy/AF-Q97EB3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD0Eb3f1c6E7C00D7f0b12CBe40cD816bCe92F0D5
First NFT owner address (bech32): 
genesis16r4n78rw0sqd0u939jlypnvpd08f9ux48fjfvy
Current NFT ID #136723 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
136723
Accession (UniProt):
Q97EB3
Name::
Formate--tetrahydrofolate ligase
Experimental Method:
Predicted structure
Sequence source:
CLOSTRIDIUM ACETOBUTYLICUM (STRAIN ATCC 824 / DSM 792 / JCM 1419 / LMG 5710 / VKM B-1787)

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 Q97EB3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q97EB3|FTHS_CLOAB Formate--tetrahydrofolate ligase OS=Clostridium acetobutylicum (strain ATCC 824 / DSM 792 / JCM 1419 / LMG 5710 / VKM B-1787) OX=272562 GN=fhs PE=3 SV=1 MKTDIEIAQEAKMEPIVKIAEKIGLNEDDIDLYGKYKCKISLDVLKQNKNKQDGKLVLVTAINPTPAGEGKSTVTVGLGEALCKMNKNTVIALREPSLGPVFGIKGGAAGGGYAQVVPMEDINLHFTGDMHAITSANNLLCAAIDNHIHQGNSLKIDQRRIVFKRVMDMNDRALRSIVVGLGGKVNGFPREDGFMITVASEIMAILCLANDLMDLKERMGKILIAYDLDGNPVYCRDLKVEGAMAMLMKDAMKPNLVQTLENTPAIIHGGPFANIAHGCNSILATKMALKLGDYVITEAGFGADLGAEKFLDIKCRYGNLNPDCVVLVATIRALKHHGGALKEDLSKPNAKVLEKGLSNLGKQIENIKKYGVPVVVAINKFITDSEEEIKCIEEYCSKQGVKVSLTEVWEKGGEGGTDLANKVLDTLENEKSNFKYLYDEKLSIKEKMDIIAKEIYGADGVQYTPQANKQIKEIEKFNLDKLPICVAKTQYSLSDNPALLGRPTNFTINVKEVRVSNGAGFVVVQTGNIMTMPGLPKTPAANKMDIFEDGSIVGLF