Q18E75 AF NFT

Replication factor C small subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifzj236jt5mhi6mngpz2gxsb7scevav37jsds6i6bocsc3bbuuxvy/metadata.json
IPFS of structure file: 
bafybeibecfarpg5vx22hzmuidgjdop77c4lwgg43loptdalwkzqwhaknri/AF-Q18E75-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8F82a00E11039Efc28Faf142EE57BED6Db5380e2
First NFT owner address (bech32): 
genesis137p2qrs3qw00c28679pwu4a76md48q8zxthgrp
Current NFT ID #341206 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
341206
Accession (UniProt):
Q18E75
Name::
Replication factor C small subunit
Experimental Method:
Predicted structure
Sequence source:
HALOQUADRATUM WALSBYI (STRAIN DSM 16790 / HBSQ001)

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 Q18E75 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q18E75|RFCS_HALWD Replication factor C small subunit OS=Haloquadratum walsbyi (strain DSM 16790 / HBSQ001) OX=362976 GN=rfcS PE=3 SV=1 MSEADASDAAPTGREIWIEKYRPATLENIYGQEDTVDRLQSYIDRDDLPHLLFAGPAGVGKCVTGSTPILTNKGIRQIGEIVGDVDGFAPAPQNLKVCSLTADGSFQYRHPSHVFGKRASGLQRIKTNDGATLTVTPEHKLLIRTGENTNPTWVPAADITAGMHVLRAKNLPIPAETTGSCAASKNASEVSHIGDEYRYHDSLMADVNTRIATLERLIEDYAESRSDGSLKFTLIGAHTPTVSTVSYLLATVGIASRHTSTLIDSEKRVHAIIIDASDTVRLEEMIETDWDTVMADQTTTVTSSSTASTTKTTQSYLSSGETQTCGWIPYADGGVTHPSTQHSPLHADVVTVSESLDAEKRVYDLTVPGVRNYVGGCIPTVMHNTTAATAIAHAVYGDDWQNNLLELNASDERGIDVVRDRIKNFARSSFGGYDHRIIFLDEADSLTDDAQSALRRTMEQFADNTRFILSCNYSSKIIDPIQSRCAVFRFSPLSETAIRGQTKDIAAAENIELTEDGLDALVYAAGGDMRRAINSLQAAATTGEVVDEETVYTITSTARPEDIETMVTAAIDGDFTTARSQLQTLLVDTGMAGGDIIDQLHRTAWNLDLDEETTVRLLERVGEADYRITVGANEQVQLEALLASLADTQ