P0C1Z0 AF NFT

Fasciculin-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieysocmyrtnkk6g5qgt2ul77wljtetedjqqgwt47cy2be4l4utjf4/metadata.json
IPFS of structure file: 
bafybeib3bnxibqvhtw3sjda76b7znjyitindhbyq2oc3p4kfjzgx7jkv5q/AF-P0C1Z0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7782F4817b37743d738e9aF842bf74bd50f2015E
First NFT owner address (bech32): 
genesis1w7p0fqtmxa6r6uuwntuy90m5h4g0yq27nqe34a
Current NFT ID #1271 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
1271
Accession (UniProt):
P0C1Z0
Name::
Fasciculin-2
Experimental Method:
Predicted structure
Sequence source:
DENDROASPIS ANGUSTICEPS

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 P0C1Z0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0C1Z0|3SE2_DENAN Fasciculin-2 OS=Dendroaspis angusticeps OX=8618 PE=1 SV=1 TMCYSHTTTSRAILTNCGENSCYRKSRRHPPKMVLGRGCGCPPGDDNLEVKCCTSPDKCNY