Q9PTJ3 AF NFT

Rhombotin-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif2r3vpmxllivabknljcij2xpbegp7hzr4u44wq3okpzusx3ekcfa/metadata.json
IPFS of structure file: 
bafybeihf4vrbxmqorleh5y3lhxksmylf36geemqteeftk5z6n6nc6k2lwq/AF-Q9PTJ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x738c1929c69B751bD0Be0B962D9bac20B631aAc6
First NFT owner address (bech32): 
genesis1wwxpj2wxnd63h597pwtzmxavyzmrr2kx0xhph5
Current NFT ID #335385 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
335385
Accession (UniProt):
Q9PTJ3
Name::
Rhombotin-2
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 Q9PTJ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9PTJ3|RBTN2_DANRE Rhombotin-2 OS=Danio rerio OX=7955 GN=lmo2 PE=2 SV=1 MASTIERKTLEANEEPVDEVLQMPPSLLTCGGCQQSIGDRFFLKAIEQYWHEDCLSCDLCGCRLGEVGRRLYYKLGRKLCRRDYLRLFGQDGLCASCEKRIRAFEMTMRVRDKVYHLECFKCAACQKHFCVGDRYLLINSDIVCEQDIFEWTKLNGSIV