Q54V35 AF NFT

Probable serine/threonine-protein kinase kinase DDB_G0280643

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihpcs7v6xcske5avpuyvnqo2x4rv5vhmy2fy3s3dnjxto3budvdly/metadata.json
IPFS of structure file: 
bafybeigynjp4d2twhgwlarpcfrjwx3upwz6xvtbchu6k7cqpk2lsgyi3ea/AF-Q54V35-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3298b100681D3A2372Bba3b2f282750dD71629B9
First NFT owner address (bech32): 
genesis1x2vtzqrgr5azxu4m5we09qn4pht3v2de5478nd
Current NFT ID #523357 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
523357
Accession (UniProt):
Q54V35
Name::
Probable serine/threonine-protein kinase kinase DDB_G0280643
Experimental Method:
Predicted structure
Sequence source:
DICTYOSTELIUM DISCOIDEUM

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 Q54V35 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54V35|Y9841_DICDI Probable serine/threonine-protein kinase kinase DDB_G0280643 OS=Dictyostelium discoideum OX=44689 GN=DDB_G0280643 PE=3 SV=1 MDIYYILNHDNSDNNIFDFENNSDTIDIGKNYKKCNGQGQMLPPPTLITPSNQNDTITYYTDGRSISVPRKMLIDPNTIVDCGTNGIMFIAFNFETQKRVILKKLSKRMFDNELNGHRIIRNLIFQNLFQGGKHISTYQSIFKRKCSDSYQPPLTSILNSIISSNDNPQQHSTLIQQKDDEDFYFESIQPQYSLLNLISNNMLDQDDICQLFYEILMGLKFMHSAGVIHRDLDPENSIFVDENFNIKFTEFNNCFLLDTDPTFLFNKEYITNTYSYRAPETIWGDSLYTEATDVWGAGVLFAELLLGKRLFRSFNSKEHLKSIYKLIGAPKASEGAYVVKGELLFFLMEYNRKNSFQPTFNNTFIGCNQIQIDLLKNMLCWDPRDRYSVNEILESPYFENIHDRTNFIPCDKNLNVNIHFDILNLKPNQMTNLIDQEFLNPS