A9C3P0 AF NFT

Malectin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig7pidziet4wnzm5nziuqftczal2lzt24zm2asibtfr7roa5fqlbq/metadata.json
IPFS of structure file: 
bafybeidqn57aqavyxhihu2y2r2exg55p4b4gw4obebdoj3lc6j4cp7565e/AF-A9C3P0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x01e98F6aA2b8835b76ABa5D63df70C33997ED954
First NFT owner address (bech32): 
genesis1q85c764zhzp4ka4t5htrmacvxwvhak257tsq8u
Current NFT ID #236593 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
236593
Accession (UniProt):
A9C3P0
Name::
Malectin
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 A9C3P0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9C3P0|MLEC_DANRE Malectin OS=Danio rerio OX=7955 GN=mlec PE=3 SV=1 MRRVTLHCAARLVIAALWLLVEVCRAESGAQSLAERVIWAVNAGGDTHTDVHGIQFKKDPLEGKVGKASDYGVRLPILRSSPEDQILYQTERYNEDTFGYEVPIREEGDYILVMKYAEVYFAQSQQKVFDVRLNGHVVVKDLDIFDRVGHSTAHDEIVPFSIKRGKLSVHGEVSTFNGKLTVEFVKGYYDNPKICALYVMKGKLEDVPKLQPHPGLEKREEEEEEEEEGEGPEGEKKSASTSPKNPVRSGPRTPNPYATDNSSLMFPILVAFGVFIPTLFCLCRL