Q502P7 AF NFT

Protein BANP

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif3txx45er3wxzxxrnu4zp54zotyv5i3nl4wsnpyblnraeq5opl4m/metadata.json
IPFS of structure file: 
bafybeicjhjqjucyd3r7nyljibtwkqycqrrbx3ug3mycry7zkodr7ja534i/AF-Q502P7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf1a8F1556714059A77767ecA75A15ac431c60971
First NFT owner address (bech32): 
genesis17x50z4t8zsze5amk0m98tg26cscuvzt3964tm7
Current NFT ID #40846 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
40846
Accession (UniProt):
Q502P7
Name::
Protein BANP
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 Q502P7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q502P7|BANP_DANRE Protein BANP OS=Danio rerio OX=7955 GN=banp PE=2 SV=1 MMSEQGLVEIVQIAVADLNHEGHQTDVLENNEDSDQPGRKRARIEISQETSIKSMLISISQAICQRLDSMEAKLQVLEVTCRGLVEKLDTVMGKNQSTTQVPMVSGSPFGATQTCDKVRCVVPQTNVIVSGDRAKTEETSPRTSDSLENLLSNTVGRGRQKTIVLKVPVQEEIQDDQESGSETSDSVSNSGQPQNNNNVTLITLNSEEDYPTGTWLGDENNPEMRVRCPVSPADMLHISTNCRTAEKMALTLLDYLFHREVQAVSNLSGQGKHGKKQLDPLMIYGIRCHLFFKFAITESDWYRIKQSIDSKCRTAWRRKQRGQSLAVKSFSRRTPASQSSSDGVSAAETSAIETSTQQALHYALAGATQQVQIHRIGEDGQVQVIPQGHLHIAQVPQGEQVQITQDSEGNLQIHQVHVGQDGQVNVLRGPQLIAVASTDGTGGVDASPLQANDIQVQYVQLGTVTDHTGAVQAEALTPALQAEMDVKEAIQLQQAENGEVVQIQMPGT