Q751F5 AF NFT

Serine/threonine-protein kinase SSN3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihugcdxylmtkd5t4q6a5aupd5iyqhzmakudedga27wlfgrn2xg5be/metadata.json
IPFS of structure file: 
bafybeid3mts5wiurn5bzctio366xw3lzz7rx4nu5g2vmprre37mjexrvnu/AF-Q751F5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8f3818edBE3d3F06fabd742B732B2B7D15b4E46e
First NFT owner address (bech32): 
genesis13uup3md785lsd74aws4hx2et052mferw3paz0v
Current NFT ID #437529 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
437529
Accession (UniProt):
Q751F5
Name::
Serine/threonine-protein kinase SSN3
Experimental Method:
Predicted structure
Sequence source:
ASHBYA GOSSYPII (STRAIN ATCC 10895 / CBS 109.51 / FGSC 9923 / NRRL Y-1056)

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 Q751F5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q751F5|SSN3_ASHGO Serine/threonine-protein kinase SSN3 OS=Ashbya gossypii (strain ATCC 10895 / CBS 109.51 / FGSC 9923 / NRRL Y-1056) OX=284811 GN=SSN3 PE=3 SV=2 MGIRLQSSDSMNNQHQTQQNKYFNVSNQASTRSLWSQQQQQQLLDTKGSASTSKSPMLMANNNVFSIGPYRQRKDAGRVSVLEKYEIIGYIAAGTYGKVYKAKAKETQEEQENSIHTHNQTLGSVSVAGIDGGMASREVENGGDDPLRLDGHGGIAVAPAAGGGLSSAAAHRARSNGAVKALPKKSAFTPFYAIKKFKTEREGVEQLHYTGISQSACREMSLCRELDNKHLTKLVEIFLERKSIYMVSEFAEHDLLQIIHFHSHPEKRLIAPRMLKSIMWQILDGVSYLHQNWILHRDLKPANIMVTVDGCVKIGDLGLARKFYNLVQTLYTGDKVVVTIWYRAPELLLGARHYSPAIDLWAVGCIFAELIGLRPIFKGEEAKMDSKKSVPFQGNQLQRILEVLGTPTHHTWPNIHKYPEYEQLSKFSKYRDNLSVWYHSSGGRDKAALSLLYSLLKYDPITRIDAIDALEHEYFTNNDPPVSSDVFEGLSYKYPPRRIHTSDNDIMNVGANKNKSGFNHHPPQQQTVNNNGVTNSSIGGLGVNRRILAAAAAAAAAVQVNGTNIVSGSSSSNGPIRKKKR