Q54P62 Origin recognition complex subunit 6 MolNFT, Molecular NFT on GenesisL1

Origin recognition complex subunit 6

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeige2y67shxhbvvzerttua7hiff3socwsum273tkduwazbfkkjkb4u/metadata.json

IPFS of structure file:

bafybeigltppkol6l6i2d5667onaiwekzbpqrjt7dr4wpcmhozowvvxddf4/AF-Q54P62-F1-model_v2.pdb

First NFT owner address (eip-55):

0x0356e122c1fF1b685d1f6dBC2f0B9adCa50B5286

First NFT owner address (bech32):

genesis1qdtwzgkpludkshgldk7z7zu6mjjsk55x0xa787

Current NFT ID #282561 owner (web3):

0x822BfDB52f100Af7414C872a89eE1bfF1069766B

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
282561
Accession (UniProt):
Q54P62
Name::
Origin recognition complex subunit 6
Experimental Method:
Predicted structure
Sequence source:
DICTYOSTELIUM DISCOIDEUM

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 Q54P62 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54P62|ORC6_DICDI Origin recognition complex subunit 6 OS=Dictyostelium discoideum OX=44689 GN=orcF PE=3 SV=1 MDIEDVMNKLSLKNKKVLNRSSEYSRLIKVKRPMGLGPLEMCKPGACIFVACKELSIELNKSQLVRVLGTNDKLFEQSILALYTILGKKRPPYSIVEISNTFKLNSTICESSENLLKLYRTKILGGIEEVQSQFTNIDDGIFSAASVYIMTQQHSINIDHTLLLSLVDCSQETFQRAMNAITQCCYQGESIVKLKKTPPKNKQNTILRSPTSILISSSSTLNNTTTSTTTTAPKSPIPIPSLTPISQIKNLTTKPIVSPSSSPLLSSISPPKVLATPTLSSSSSSSSSSSSSLSPPLSSNPTTDLSSTNEPIVFNISSELLPIPPTTTFKNDGNENKNNTKNCNIEIIEEISNVDESPFNDNSVKKIEQSNPNISNKKRSRDELEKESELGKSQPPQPQQQPQQQQQQQKEKSVKNKINEGDLTLEQERLLIKKKKEQQFNDWKNSDFAKSKPTPVNATKQLTLDSFFK

Q54P62 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q54P62 research and analysis (ICN3D with VR)

FASTA sequences

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