Q05935 AF NFT

Myb-related protein A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih2nvsvp6fxw4dh6a35kk22ap3itg47aasvihxazp6kf77zw23aoi/metadata.json
IPFS of structure file: 
bafybeihwj6lnb3kaiawilngmztliqi5azlzlcirv6traafinikfgehz7si/AF-Q05935-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xaE4667F4997f0196C873a86Bb30DccBBFFD4aE2a
First NFT owner address (bech32): 
genesis14erx0aye0uqedjrn4p4mxrwvh0laft3232ahu0
Current NFT ID #255031 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
255031
Accession (UniProt):
Q05935
Name::
Myb-related protein A
Experimental Method:
Predicted structure
Sequence source:
XENOPUS LAEVIS

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 Q05935 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q05935|MYBA_XENLA Myb-related protein A OS=Xenopus laevis OX=8355 GN=mybl1 PE=2 SV=1 MAGRARSEDEEEDGQFTEHDYDVSLQKGPKKPWSKLRWTKDEDDKVKKLVEKHGEDWGVVARHFINRSEVQCQHRWHKVLSPELVKGPWTKEEDQRVIELVHKYGPKKWSIIAKHLKGRIGKQCRERWHNHLNPDVKKSSWTEEEDRIIYSAHKRMGNRWAEIAKLLPGRTDNSIKNHWNSTMKRKVEQEGYLQDLMNCDRPSKLQAKSCAAPNHLQAQNQFYIPVQTQIPRYSSLSHDDNCIEIQNSFSFIQQPFVDADDPEKEKRIKELELLLMSAENEVRRKRVPSGSSLTWSESYHMGESMSNTMSHLEEQTHDFYSLDEIPNTSGQQSVEDKILAPEANIVLQPLETIPEFSETLELIDVDTVDWNNIESFELPFTASPAKHTPMKWIHEISPECALNSCLVQADGRGSASRVLSSSPAMPKFYSPPTILRKKKIHPDLSLTPEVRDASNVVLKGTPVKTRQYSPLQLFRSGNVQNHLNLDNLPLTSTPVCGQKISATPLQRQITPKKDKENAGFRTPTIRRSLMAVTPRTPTPFKNALAAQEKKYGPLRTVMQPLIFVEEDIMEVLKKETEKDVFIKEEKESDCKPMKQEHVSTVRKVRKSLILDSCDKEELGADFLAPDEVSQSQNGNTLPTSFLMIPLGERQDQKCDENTDTRKGSVMQRKNYIPATRNVKLQSSVQPLCEWEAVVYGKTEDQLIMTEQARRYLDTYKPTSSSGLRHLIL