P0CY97 AF NFT

Chaperonin GroEL 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibbili67mltdvnftjh6vf4vl2zahj23avig624czhpuaxb5sdozhy/metadata.json
IPFS of structure file: 
bafybeibooqm24by6evbsenimv56re4c2c24bwr2qazwxacst2clj2kujbi/AF-P0CY97-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5c4adF1416281C09AE8eE1cbb80fF7e44cE86F97
First NFT owner address (bech32): 
genesis1t39d79qk9qwqnt5wu89msrlhu3xwsmuhlku3xz
Current NFT ID #60026 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
60026
Accession (UniProt):
P0CY97
Name::
Chaperonin GroEL 1
Experimental Method:
Predicted structure
Sequence source:
Cutibacterium acnes (strain DSM 16379 / KPA171202)

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 P0CY97 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0CY97|CH601_CUTAK Chaperonin GroEL 1 OS=Cutibacterium acnes (strain DSM 16379 / KPA171202) OX=267747 GN=groEL1 PE=3 SV=1 MAKLIEFNIEARRGLEAGMNTLADAVKVTLGPKGRNVVLEKSWGAPTITNDGVSIAKEIELDDPYEKIGAELVKEVAKKTDDVAGDGTTTATVLAQAMVREGLRNVTAGANPMGLKKGIEAAVQAVSARLSDMAIDIETKDQIASTASISAADPTVGEIIAEAMDKVGKEGVITVEESNTFGLELELTEGMRFDKGYISPYFVTDTERMEAVLEDPYILIVNSKISSLKDLLPVLEKVMQSGKPLFVIAEDVEGEALAGLIVNKIRGTFKSVAVKAPGFGDRRKAMLNDIAILTGGQVISEEVGLSLDAVTLDLLGRARQVVVTKDEATIVDGAGDSEQIAGRVSQIRKEIENSDSDYDREKLQERLAKLAGGVAVIKVGAATEVELKERKHRIEDAVRNAKAAVEEGIIPGGGVALLQASKAAEIEGLEGDELTGAQIVLAACTAPLKQIAINAGLEGGVVAEKVAGLPAGQGLNAANDEYVDMVEAGIIDPAKVTRSALQNAASIAALFLTTEAVIADKPEPVKAPAGGGDMDGMGGMGGMM