Q6FN65 AF NFT

ATP-dependent RNA helicase ROK1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifhipoba4eu5qgi5gywukrws6k464wdrwkwlvbj23juet2da4huvq/metadata.json
IPFS of structure file: 
bafybeidklymfdxyz3bjdk5oc2zam3c4msq4d4j2qvqimppr2efbe2kapoi/AF-Q6FN65-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7012c0b45c68a2c067644b9d3e5DDa06892c6957
First NFT owner address (bech32): 
genesis1wqfvpdzudz3vqemyfwwnuhw6q6yjc62hg2ks0z
Current NFT ID #384581 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
384581
Accession (UniProt):
Q6FN65
Name::
ATP-dependent RNA helicase ROK1
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 Q6FN65 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6FN65|ROK1_CANGA ATP-dependent RNA helicase ROK1 OS=Candida glabrata (strain ATCC 2001 / CBS 138 / JCM 3761 / NBRC 0622 / NRRL Y-65) OX=284593 GN=ROK1 PE=3 SV=1 MDIFRVLTRGASINKKANQKGKTVDYSTADTDNDKVDNKQVEKQLNRELDFFRNKKIVSKVETAKAKLEDSVEDSHQQDNNDDVTEVAYDVKITTKEQASALRKSYKGNITGEDIPLPIGSFEDLISRFSLDKRLLNNLIENHFTEPTPIQCEAIPLCLNGRDLLACAPTGSGKTLAFLIPLLQQIIEEKNFSGVKGLIISPTKELATQIFNECVKLSKRIYLDKKRPLQVAILSKSLGAKLRNKVISDKKYDLIISTPLRLIDVVKNEALDLSNVKHLIFDEADKLFDKTFIEQTDDILNSCTDPSMRKSMFSATIPSSVEETANSIMNDPVRVIIGHKEAANTNIEQKLIFCGNEEGKLIAIRQLVQQGEFKPPIIIFLESIARAKALYHELMYDRINVDVIHAERTAIQREKIIERFKTGELWCLICTDVLARGIDFKGVNLVINYDVPTTAQAYVHRIGRTGRGGRSGKAVTLYTKLDSVAIKPIINVMKQSGCEVEGWMNNISKITKREKEAIKKGKSHKERDQISTVPKVERLKRKKKQDMIRASKRRQLESNAIESAD