Q6FP07 AF NFT

Cytosolic Fe-S cluster assembly factor NAR1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig7fo33l2q2xiz3dtcqdwohwwqleba5tl5ylwkhmgyjfpdfmcwbom/metadata.json
IPFS of structure file: 
bafybeidp7jxp4ezmviwf6kjpigu35n4aenl3ubqielwigivvwgdq4ojiia/AF-Q6FP07-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x80c65687F966a6264124948aC6721671E4B4d776
First NFT owner address (bech32): 
genesis1srr9dplev6nzvsfyjj9vvuskw8jtf4mkhynhfg
Current NFT ID #259406 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
259406
Accession (UniProt):
Q6FP07
Name::
Cytosolic Fe-S cluster assembly factor NAR1
Experimental Method:
Predicted structure
Sequence source:
CANDIDA GLABRATA (STRAIN ATCC 2001 / CBS 138 / JCM 3761 / NBRC 0622 / NRRL Y-65)

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 Q6FP07 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6FP07|NAR1_CANGA Cytosolic Fe-S cluster assembly factor NAR1 OS=Candida glabrata (strain ATCC 2001 / CBS 138 / JCM 3761 / NBRC 0622 / NRRL Y-65) OX=284593 GN=NAR1 PE=3 SV=1 MSALLSEDYLNDYISPALACTKPTEIKKEKFVTEDGEFQVGVEPQELEKVTISLSDCLACSGCITSSEEIMLSQQSHSVFLDAWRELGFDKCGSAGDAQCTNKLVVSISPHCRASMARYYGVDVDAADYAILRVFKEVFHATSVIGDGAGRLLSVKRVVEELMERRKASQGTALSSICPGFLIYTEKTKPKLVPMLLNVKSAQQVTGALFKEIALEEGYDVDTSLKDGKRTNVQYHLTIVPCFDKKLEASRPDGEGEVNCVITPREVLAMLGEMGVSFRKYLGDWASLDKQLQQSQLGMLRAEMSPAGWDPLLHWSIPANGDGYSDGYAYQYACTVRDAHVASGCAAQVVSVPGKNADVLEYRVVEPSSEGGKVIARACVLSGFRNIQNLCRKLDPSGHKKRSVRRVAALRSRGRKDSSSEDSTGTPSAISNALGGTANPAECDYVEVSACPSGSINGGGLLMELAPEREEMGETPLPSSTIGGNARRRQQQLQELQAMYKAQIRITDETPTSLPPAALPPLPPQYTMQYTFYIQEEDPAKPDIVTVGNTW