A0A0B5ABE4 AF NFT

Con-Ins Q1b

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigzufosn4crmb7vsbs3zmkchou2isftjc7id6z54otum42eifhdpe/metadata.json
IPFS of structure file: 
bafybeicgr3rdming3douxuluupxcylh2fflb5anuhjdtale4noa3kksb6e/AF-A0A0B5ABE4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0a5E8971Bc8668384f357c645750797DdfA6b629
First NFT owner address (bech32): 
genesis1pf0gjuduse5rsne403j9w5re0h06dd3f4ndtvj
Current NFT ID #190295 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
190295
Accession (UniProt):
A0A0B5ABE4
Name::
Con-Ins Q1b
Experimental Method:
Predicted structure
Sequence source:
Conus quercinus

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 A0A0B5ABE4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0A0B5ABE4|INS1B_CONQU Con-Ins Q1b OS=Conus quercinus OX=101313 PE=1 SV=1 MTTSSYFLLVALGLLLYLCQSSFGTEHTCEPGASPHPQGKCGPELAEFHETMCEVEESLQGGTDDARKKRGRASLLRKRRGFLSMLKARAKRNEASPLPRAGRGIVCECCKNSCTYEEITEYCPPVTEGSG