Q503N2 AF NFT

Kinetochore protein Spc24

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigu6agzsmefy44oefeakjiybtssh472ygfxfz643jdauzgcarfkce/metadata.json
IPFS of structure file: 
bafybeieab7aukodbxnw4o77xiraa7cwmsyutthpefbtbnvpo4wy5lsvin4/AF-Q503N2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA3A648e2D49954a7AB0757a6Ac0797650f3E2D12
First NFT owner address (bech32): 
genesis15wny3ck5n92202c827n2cpuhv58nutgj5eaef8
Current NFT ID #433871 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
433871
Accession (UniProt):
Q503N2
Name::
Kinetochore protein Spc24
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q503N2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q503N2|SPC24_DANRE Kinetochore protein Spc24 OS=Danio rerio OX=7955 GN=spc24 PE=2 SV=2 MSHSISMHDDDLEKLGESLNEIIMSSKAESVLQAARKKKQEFFDHYIKTKKTLTELLNDLVHTEEVVGQKLLDLDQQKSQMMQEIMKMEQEVQRSQSKSQNLDSELEFLQKELERLRDAEQEIQTLQQEVDEDTTEVIPSAIYVAQLYSKVTKIKLEFDTEPHILKGVHYGADVVTPINIDTSTRTPCEVSDELWSLVKTEW