Q4V645 AF NFT

Trissin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidshyn74vkg5e7f64zlgrrd62ghhkfldgxd2juqwesvrtsrycg2da/metadata.json
IPFS of structure file: 
bafybeihb7pnhy3yytdmz7y6bllsr62wxmyo36lk3ibjjjtosjen5kgnadq/AF-Q4V645-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5c4adF1416281C09AE8eE1cbb80fF7e44cE86F97
First NFT owner address (bech32): 
genesis1t39d79qk9qwqnt5wu89msrlhu3xwsmuhlku3xz
Current NFT ID #473398 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
473398
Accession (UniProt):
Q4V645
Name::
Trissin
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 Q4V645 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4V645|TRISS_DROME Trissin OS=Drosophila melanogaster OX=7227 GN=Trissin PE=1 SV=1 MTKTTMHWLAHFQIILLCIWLMCPPSSQAIKCDTCGKECASACGTKHFRTCCFNYLRKRSDPDALRQSSNRRLIDFILLQGRALFTQELRERRHNGTLMDLGLNTYYP