Q4WEH7 AF NFT

Pre-mRNA-processing protein 45

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig7576wtsev5fx346jxml4qf4a5s53am346ja2uwx4n5xpkw3ogcm/metadata.json
IPFS of structure file: 
bafybeieqgfkh42djvaaow6nqxfpmyud4l5v7u2eqmi6npzuksvczq4lqk4/AF-Q4WEH7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd9004EA8bb29b982431948B179095C248197194f
First NFT owner address (bech32): 
genesis1myqya29m9xucyscefzchjz2uyjqewx205hx5gw
Current NFT ID #311171 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
311171
Accession (UniProt):
Q4WEH7
Name::
Pre-mRNA-processing protein 45
Experimental Method:
Predicted structure
Sequence source:
NEOSARTORYA FUMIGATA (STRAIN ATCC MYA-4609 / AF293 / CBS 101355 / FGSC A1100)

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 Q4WEH7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4WEH7|PRP45_ASPFU Pre-mRNA-processing protein 45 OS=Neosartorya fumigata (strain ATCC MYA-4609 / Af293 / CBS 101355 / FGSC A1100) OX=330879 GN=prp45 PE=3 SV=1 MTSVAEGLFKSLPKPKYTGEDEEVPQHAQPRGPRIVGADQIDQSQIVLRRTGPPPYGNRAGWRPRAAEDFGDGGAFPEILVAQYPLDMGRKGTATTSNALAVQVDAEGKVKYDAIARRGHSENRIVHASFKDLIPLRQRVDMGEISLDRPSEEEVQAQMEKTKNALASLVEGAVAAQKPKNVKGGRRAEPTFVRYTPANQMGDTTRKNDRIMKIVERQQDPMEPPKFKHKKIPRGPPSPPPPIMHSPPRKLTAEDQEAWRIPPPVSNWKNPKGYTVPLDKRLAADGRGLQDVTINDKFAQFAEALFTADRHAREEVRLRAQMQQKLAEKEKAQKEEHLRALAQKAREERAASNRRDSRARSHTRSASRSPSAYSRSATPSDDEEAARERERIRRERRQDAERQLRQSRMGTERRIQMMAREQNRDISEKVALGLAKPTQTSESMWDSRLFNQTSGLQSGFNEDNPYDKPLFAAQDAINSIYRPRAQLDVDDEEGAEGEMSKIQKTNRFEVLGKAKEGFRGAAEAEARDGPVQFEKDTTDPFGIDSMIADVTGGAGQKRYGIQEVEREDRGSKRARVDDD