B2UPW8 AF NFT

3-isopropylmalate dehydratase large subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie34rpwa7s5np6ak2srfaqjtgnlej3g3od5mixyy6a2ucbd5vlu4y/metadata.json
IPFS of structure file: 
bafybeifpkzlvquzrlrf4hykew744rzqp6np2oun3iozrsdk7fzgwocojzy/AF-B2UPW8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8DD039045Fb349fDC997B0f513D2569D7B05b2a0
First NFT owner address (bech32): 
genesis13hgrjpzlkdylmjvhkr6385jkn4astv4qhayr40
Current NFT ID #210794 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
210794
Accession (UniProt):
B2UPW8
Name::
3-isopropylmalate dehydratase large subunit
Experimental Method:
Predicted structure
Sequence source:
Akkermansia muciniphila (strain ATCC BAA-835 / DSM 22959 / JCM 33894 / BCRC 81048 / CCUG 64013 / CIP 107961 / Muc)

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 B2UPW8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B2UPW8|LEUC_AKKM8 3-isopropylmalate dehydratase large subunit OS=Akkermansia muciniphila (strain ATCC BAA-835 / DSM 22959 / JCM 33894 / BCRC 81048 / CCUG 64013 / CIP 107961 / Muc) OX=349741 GN=leuC PE=3 SV=1 MGKTLFQKIWDAHTVGILPDGRTQMFIATHLLHEVTSPQAFGMVRDLGLTVRHPERTFATVDHIIPTDNQAEPFADATADAMIRELRRNCAENGIRFFDLPTGLQGIVHMVGPELGITQPGMTIVCGDSHTATHGAFGAIAMGIGTTQVRDVLATQTLALSPLKVRRINVNGKLAPGVRAKDVALHIIGLLGAKGGLGFAYEYGGEVIDAMSMDERMTLCNMSIEGAARCGYVNPDRTTVEYIKGRLFAPTGADWDKAVERWLGFASDADAEYDEIVEIDGASIEPTLTWGISPDQNTGISGSTPNPSDAADDDERKMINEALEYMKFPADMPLKGLPVQVCFVGSCTNGRISDFREVAALIKGRHVAPGIRALAVPGSQMTARQCEEEGIADIFREAGFEWRLAGCSMCLAMNPDKLQGDQLCASSSNRNFKGRQGSPTGRTLLMSPAMVAAAALTGKVSDAREVFSLN