Q7ZV80 AF NFT

Survival of motor neuron-related-splicing factor 30

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig7vw27qrnqsyt2p6wovot7trrx4b42xyzlombxjf24dq2yra7y5a/metadata.json
IPFS of structure file: 
bafybeidkpamir344p4724wiltjwjgzzvagf62wgu2a44lwfxghrvsmmla4/AF-Q7ZV80-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x21f799EBE15eca4b9FBc37a241c496cbDd196f0e
First NFT owner address (bech32): 
genesis1y8men6lptm9yh8aux73yr3yke0w3jmcwfmfh08
Current NFT ID #434787 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
434787
Accession (UniProt):
Q7ZV80
Name::
Survival of motor neuron-related-splicing factor 30
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 Q7ZV80 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7ZV80|SPF30_DANRE Survival of motor neuron-related-splicing factor 30 OS=Danio rerio OX=7955 GN=smndc1 PE=2 SV=1 MSEELMKQLSNYKAQLQQVEAALSIDPDNEDLLKLQKDLQEVIELTKDLLTSQPAEGTTSTKSSETVAPSHSWRVGDHCMATWSQDGQVYEAEIEEIDNENGTAAITFAGYGNAEVMPLHMLKKVEEGRIRDEIDGKPKSKKELQAEQREYKKKKAQKKVQRMKELEQEREDQKSKWQQFNNKAYSKNKKGQVKRSIFASPESVNGKVGVGTCGIADKPMTQYNDTSKYNVRHLMPQ