P12957 AF NFT

Caldesmon

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihdyxg5enba2b2u27cwgoxc5aopigprl4hc4auepdqwddkaebpy7u/metadata.json
IPFS of structure file: 
bafybeiekrbjqg3xulywpwm73sinluvoka74sqvct2eiq5etleyspn4gt5u/AF-P12957-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x42fB943ABB54FcE752274CE38bcF736f69B067D1
First NFT owner address (bech32): 
genesis1gtaegw4m2n7ww538fn3chnmnda5mqe73g0kuj9
Current NFT ID #49753 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
49753
Accession (UniProt):
P12957
Name::
Caldesmon
Experimental Method:
Predicted structure
Sequence source:
GALLUS GALLUS

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 P12957 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P12957|CALD1_CHICK Caldesmon OS=Gallus gallus OX=9031 GN=CALD1 PE=1 SV=2 MDDFERRRELRRQKREEMRLEAERLSYQRNDDDEEEAARERRRRARQERLRQKEEGDVSGEVTEKSEVNAQNSVAEEETKRSTDDEAALLERLARREERRQKRLQEALERQKEFDPTITDGSLSVPSRREVNNVEENEITGKEEKVETRQGRCEIEETETVTKSYQRNNWRQDGEEEGKKEEKDSEEEKPKEVPTEENQVDVAVEKSTDKEEVVETKTLAVNAENDTNAMLEGEQSITDAADKEKEEAEKEREKLEAEEKERLKAEEEKKAAEEKQKAEEEKKAAEERERAKAEEEKRAAEERERAKAEEERKAAEERERAKAEEERKAAEERAKAEEERKAAEERAKAEEERKAAEERAKAEKERKAAEERERAKAEEEKRAAEEKARLEAEKLKEKKKMEEKKAQEEKAQANLLRKQEEDKEAKVEAKKESLPEKLQPTSKKDQVKDNKDKEKAPKEEMKSVWDRKRGVPEQKAQNGERELTTPKLKSTENAFGRSNLKGAANAEAGSEKLKEKQQEAAVELDELKKRREERRKILEEEEQKKKQEEAERKIREEEEKKRMKEEIERRRAEAAEKRQKVPEDGVSEEKKPFKCFSPKGSSLKIEERAEFLNKSAQKSGMKPAHTTAVVSKIDSRLEQYTSAVVGNKAAKPAKPAASDLPVPAEGVRNIKSMWEKGNVFSSPGGTGTPNKETAGLKVGVSSRINEWLTKTPEGNKSPAPKPSDLRPGDVSGKRNLWEKQSVEKPAASSSKVTATGKKSETNGLRQFEKEP