A0A0B5AC95 AF NFT

Con-Ins G1a

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibx6x6vciyzjynflrw356sa74wwnx3wozgiwka6eozt25z2dag7aa/metadata.json
IPFS of structure file: 
bafybeib4vjy4rgiof57kwawestl2ac7x3dst37yt2qes7dzhkpcsgcw6ti/AF-A0A0B5AC95-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC0491A7e4a5851164cEffD648c5067B32B6C2422
First NFT owner address (bech32): 
genesis1cpy35lj2tpg3vn80l4jgc5r8kv4kcfpzh0k3ru
Current NFT ID #190290 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
190290
Accession (UniProt):
A0A0B5AC95
Name::
Con-Ins G1a
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 A0A0B5AC95 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0A0B5AC95|INS1A_CONGE Con-Ins G1a OS=Conus geographus OX=6491 PE=1 SV=1 MTTSSYFLLMALGLLLYVCQSSFGNQHTRTFDTPKHRCGSEITNSYMDLCYRKRNDAGEKRGRASPLWQRRGSLSKLKARAKRNGAFHLPRDGRGVVEHCCHRPCSNAEFKKYCG