O74436 AF NFT

Signal recognition particle subunit srp68

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic2nonrg6uhxrdrvlfr4uycgztpl4waseu7yllgys675eso4a2bwy/metadata.json
IPFS of structure file: 
bafybeihkash2byccpdn26lbcdfogrtj3d2vibs7a3c5objg6icdbcvemua/AF-O74436-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x738c1929c69B751bD0Be0B962D9bac20B631aAc6
First NFT owner address (bech32): 
genesis1wwxpj2wxnd63h597pwtzmxavyzmrr2kx0xhph5
Current NFT ID #436787 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
436787
Accession (UniProt):
O74436
Name::
Signal recognition particle subunit srp68
Experimental Method:
Predicted structure
Sequence source:
SCHIZOSACCHAROMYCES POMBE (STRAIN 972 / ATCC 24843)

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 O74436 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O74436|SRP68_SCHPO Signal recognition particle subunit srp68 OS=Schizosaccharomyces pombe (strain 972 / ATCC 24843) OX=284812 GN=srp68 PE=3 SV=1 MDPHVKLSTSLVIIAFRYLPNNFNDSRLGCDNLSTVGLCLKNGTGEVLFSGLIKQMANFYIFPLLLEARSDHFYEGNEYIKYLSHRIHGLRKSLHITQRGGKPKSSVDKRYAEILLFNADRAFQQFVFLRSSQRRHALRRLKRADQFGKELVSFTNAFDCNDHIFYLEAIAFAKYIEGTLNYEKRDWEGSLSAFSISRLSFLVLQNKIDTLAEHEKSVLGELQNQIDSNLRYVAQRTGLQNQTKSLDILMLSSIPKDEEVIQHVNSVDSEILQMTGDEQDSLQTITVIEWRDQRVKIEHPDVVLALYAIHDVKNSPGTIDSKRDRLLAAWARAEEITKSVLDNTGLEDEQKFQTLSICYTYLAYNVVLLRIQRDLAVENDSELVASQAQLRSRQSLYDSIIKNIEIAKELPGIARDTGMTAQLEAQISLAKSKRCQAIADAYQAQDKLASLAMCVRAASYLQQVNDILRNFEEKPHLIAFDIIPELKKDEKELKKKILLLQSLASMGNINQPPKNLSLVETLDSYQTLAELEPSWNLTDADIRAIPAKPLFFDLAITYLGQQTSFDKKKAQPEKPVTSVSKEPKQKNKGFFSSLLGR