C7MWW2 AF NFT

Proteasome-associated ATPase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicpxukaju6eijqijiv7kxexuyd5ahwa7nsnwfmsx7zsxv3fggnw44/metadata.json
IPFS of structure file: 
bafybeie5qonp7szzesndkbtchhwc2mvkugrwi23pxwkvt5tcerf5dq7pga/AF-C7MWW2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb4D2d9c96b0D792d0b77e7147D724cc1F801ae58
First NFT owner address (bech32): 
genesis1knfdnjttp4uj6zmhuu286ujvc8uqrtjce36hs0
Current NFT ID #20442 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
20442
Accession (UniProt):
C7MWW2
Name::
Proteasome-associated ATPase
Experimental Method:
Predicted structure
Sequence source:
SACCHAROMONOSPORA VIRIDIS (STRAIN ATCC 15386 / DSM 43017 / JCM 3036 / NBRC 12207 / P101)

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 C7MWW2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C7MWW2|ARC_SACVD Proteasome-associated ATPase OS=Saccharomonospora viridis (strain ATCC 15386 / DSM 43017 / JCM 3036 / NBRC 12207 / P101) OX=471857 GN=arc PE=3 SV=1 MQHDLPGGRHDEADSSETGGAGTTENPSSEQARQIRFLEEEVALLRRKLTDSPRQNRVLEQRLAEANERVSQLTERNNKLVETLREARSQLLALREEVDRLAQPPSGYGVFIAAYDDNTVDVFTSGRKMRVAVSPTVDIQSLRRGQSVRLNEALTVVEVGGFESTGEVCTLREVLAPDTEGGSARALVAGHTDEERVVWLADPLAEQTLKPGDSLLVDPKAGYAYERVPKAEVEDLVLEEVPDVRYEDIGGLYRQIEQIRDAVELPFLHADLYTQYKLRPPKGVLLYGPPGCGKTLIAKAVANSLAKQVAAATGEKDAKSYFLNIKGPELLNKFVGETERHIRMIFQRAREKASDGTPVIVFFDEMESIFRTRGSGVSSDVETTIVPQLLSEIDGVEGLENVIVIGASNREDMIDPAILRPGRLDVKIKIERPDAEGAKDIFSKYLTPDLPIHADDLAEFGGDRQATIDAMIQHTVERMYEESEENRFLEVTYANGDKEVLYFRDFNSGAMIQNIVDRAKKAAIKSVLETNQPGLRVQHLLDAIVDEFAENEDLPNTTNPDDWARISGKKGERIVYIRTLVTGKNQESGRVIDTATNTGQYL