Q2I2P3 AF NFT

Contryphan-Lt

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihz4tyyjoxoc3fi5rwdjjqvhwve7gtuhajc6wtxpk7ouujmhfp54u/metadata.json
IPFS of structure file: 
bafybeidox7b3nwcwnq4r5ok223cxywuq2mt2zlmpilysfhiiwn4htfv4ti/AF-Q2I2P3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf409EF240fe4522BF573bd985931382e112b245C
First NFT owner address (bech32): 
genesis17sy77fq0u3fzhatnhkv9jvfc9cgjkfzut4z356
Current NFT ID #73274 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
73274
Accession (UniProt):
Q2I2P3
Name::
Contryphan-Lt
Experimental Method:
Predicted structure
Sequence source:
Conus litteratus

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 Q2I2P3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2I2P3|COW1_CONLT Contryphan-Lt OS=Conus litteratus OX=89445 PE=3 SV=1 MGKLTILLLVAAALLSTQVMVQGGGDQPAARNAVPRDDNPDGMSGQFMNVLRRSGCPWEPWCG