Q2G958 AF NFT

3-isopropylmalate dehydratase large subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifysviqquv4wyurc2k2ghmkwkm6ke6nqqcwinuxyhx34n6bxpxjsm/metadata.json
IPFS of structure file: 
bafybeicm4bvvde5ak7xa6xktfb7nmdhhe5wi3yngjjs255qx5q2yprauna/AF-Q2G958-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9188600a0FCa2914254C94299b1bd9721Bc4D500
First NFT owner address (bech32): 
genesis1jxyxqzs0eg53gf2vjs5ekx7ewgduf4gquehckf
Current NFT ID #211073 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
211073
Accession (UniProt):
Q2G958
Name::
3-isopropylmalate dehydratase large subunit
Experimental Method:
Predicted structure
Sequence source:
Novosphingobium aromaticivorans (strain ATCC 700278 / DSM 12444 / CCUG 56034 / CIP 105152 / NBRC 16084 / F199)

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 Q2G958 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2G958|LEUC_NOVAD 3-isopropylmalate dehydratase large subunit OS=Novosphingobium aromaticivorans (strain ATCC 700278 / DSM 12444 / CCUG 56034 / CIP 105152 / NBRC 16084 / F199) OX=279238 GN=leuC PE=3 SV=1 MSSTAPRTLYQKIWDAHVVERRDDGTCLIYIDRHLVHEVTSPQAFEALRAAGRKVRRPDLTLAVPDHNLPTTARRTADGRRVPIADPESAQQLEALERNAPEFGIRYIGDADDEQGIVHVVGPEQGFSLPGATIVCGDSHTACHGGLGALAFGIGTSEVEHVLATQTLLLKQSKTMEVRVEGELTPGVTAKDVVLHITGVLGAAGGTGSVIEYTGSVIRDLSIEGRLTISNMAIEHGARAGLCAPDEKTFAYLKGRPYAPRGEDWDKAVAWWKSLATDPGATYDKVVVIDAKDIAPSVTWGTSPEDVLPISGLVPAPESFADPSKQEAARASLEYMGLVPGQRMEDVEVQNIFIGSCTNSRIEDMRAAAAILKGRKKADNVKWAIVVPGSGLVKKQAEEEGLDRVFIEAGFEWREPGCSACLGMNPDKVPAGERCASTSNRNFVGRQGPGARTHLVSPAMAAAAAVTGRLTDVRKLMA