A0A0B5ADT3 AF NFT

Con-Ins G2b

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic7fdvxbop2cqcnsrilw3ysjt7t2brpf7mpe5e67wbn5xauosaw4q/metadata.json
IPFS of structure file: 
bafybeiaedg75an37k2sgf426fxkh2i3uajqb6pqin66zbpd4jkr5w54vjm/AF-A0A0B5ADT3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x63C78a63437C9FaAE5411eEF670067865BeB8776
First NFT owner address (bech32): 
genesis1v0rc5c6r0j064e2prmhkwqr8sed7hpmkq4ye7e
Current NFT ID #190316 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
190316
Accession (UniProt):
A0A0B5ADT3
Name::
Con-Ins G2b
Experimental Method:
Predicted structure
Sequence source:
CONUS GEOGRAPHUS

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 A0A0B5ADT3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0A0B5ADT3|INS2B_CONGE Con-Ins G2b OS=Conus geographus OX=6491 PE=2 SV=1 MTTSSYFLLVALGLLLYVRQSFSTHEHTCQLDDPAHPQGKCGSDLVNYHEEKCEEEEARRGGTNDGGKKRRRASPLRKRRRFISMLKARAKRRGYQGIACECCQHYCTDQEFINYCPPVTESSSSSSSAV