P0CB65 AF NFT

Serine/arginine repetitive matrix protein 4

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid2wnccbi4gzkkgrmcoo3fu5xrfllulinhxv5h3jmk6ntrmciadqu/metadata.json
IPFS of structure file: 
bafybeiftwzq7ede5djznwfszkazhzo25wgco3rse56d7czpbjt7etbjo6i/AF-P0CB65-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5BeA89782341f98147F2D811B063F91F0aE7D7bF
First NFT owner address (bech32): 
genesis1t04gj7prg8ucz3ljmqgmqcleru9w04al6k7v50
Current NFT ID #436891 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
436891
Accession (UniProt):
P0CB65
Name::
Serine/arginine repetitive matrix protein 4
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 P0CB65 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0CB65|SRRM4_DANRE Serine/arginine repetitive matrix protein 4 OS=Danio rerio OX=7955 GN=srrm4 PE=2 SV=1 MAGVQQGEKQLFEKFWRGTFKAVATPRPESIIVASITARRAVTKLETPVGPKDDEEKVKAKDLVTKTHEKNGHIKRRGRKRHSHRRARSVSFDADLSPRPVPKTKKKKKKSQRKRRRHRSPSCSPSPVRKKKKKKSSKKRKRHRSASRKGRHSGSSSRRKRKEDKKHKKRSRSHSHRRHRHRKAEIRSSSCMENRSEDCEKSGFRDGGRSSDVHGGDACRSAVKLTNKISSKCCCHFSESTVSPSRSGVEGLSKVVIVQNSESSDGKRRADYDSGNDTSSPPSSKTGITRSKVAGNGKFSCLTSPEKLRLADGDNASDSGNSLTSYDSLGKPLLRENTLHSSVFSKLKGEESGRFCVDVEKTQPLDLISDRNRSPSHDRYEDGTRSRSRSISSQSRYSGRHSRSRSLSSGRRSYSRSSSYSLASRRDSLSSVSSCRSLNHSRCTTHRFRERKRYCSSCKSRKHSRRRPSSPMRKRRRDSPSHLEARRITSARKRPIPYYRPSPSVSSRSSSILSWRLFPLTRSRTRSRSCSRSRSRSHSHTYSSYRSYSRSSSWNSLYSRRSRSRSRSYSRARR