P0CR52 AF NFT

Pre-mRNA-splicing factor SLU7

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibhomchi7evmqrntye3z4m2xt4i4x6lxjdu6d6m7hhnrxsiyega5u/metadata.json
IPFS of structure file: 
bafybeigkrdoam25staazgseu26san7yi6inmeksm4qastq7egsnf4hfeei/AF-P0CR52-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7F0868Ee41f382B94b230ABd8C59BA1b1A065A18
First NFT owner address (bech32): 
genesis10uyx3mjp7wptjjerp27cckd6rvdqvkscrkxzvl
Current NFT ID #430292 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
430292
Accession (UniProt):
P0CR52
Name::
Pre-mRNA-splicing factor SLU7
Experimental Method:
Predicted structure
Sequence source:
Cryptococcus neoformans var. neoformans serotype D (strain JEC21 / ATCC MYA-565)

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 P0CR52 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0CR52|SLU7_CRYNJ Pre-mRNA-splicing factor SLU7 OS=Cryptococcus neoformans var. neoformans serotype D (strain JEC21 / ATCC MYA-565) OX=214684 GN=SLU7 PE=3 SV=1 MLSTSTSLQGGKVSREEYRRQKDLEAARKAGTAPAALDEQGNAINPHIPEYITKAPWYADTGRPSLAHQRINEQGPHLKLDEWYDRGAKAGPAAKKYRKGACENCGAMTHKMKDCVERPRKRGAKFTNKDIAPDELVQQFEGDYDAKRDRWNGYDPASYKHVVEEYEATEQMRKKYREEEIDQQTSTDMAVVKKLAKKDKEGKVEDDDDDFGSSDEDEDDEDKYADAADQVGQKLDTKTRITVRNLRIREDTAKYLINLDESSAYYDPKTRSMRDAPVRNMNPEDMKFAGDNFQRYSGDATNMQKLQLFAWQSAQKGSNINVSANPTAGELLHREFQQKKEVLKDTNKTSILAKYGGEEHLQRMPNELLSGQTENYVEYSRSGQIIKGRERAKARSKYDEDVYINNHTAIWGSYYDLSTSQWGFACCHSVLPGSYCTGDAGKLANAASSASALLASSNERSKIEEAAEKERESLAEQHLKDLASGKAKKGKEREWDLPQYAKRREDGEELDLDKGRLKNALKEEKKRKKMGEDEAWQQTKKGKTDVTQEELEAYRLSRQAYDDPMSNYQDPEDQ