Q03637 Acetylcholinesterase collagenic tail peptide MolNFT, Molecular NFT on GenesisL1

Acetylcholinesterase collagenic tail peptide

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeibt5exoircrv2orn7bpbluv3l3rpxytdkgvkbzew5ugvnh4ds76le/metadata.json

IPFS of structure file:

bafybeifeo46g7tkucqbziw3f644utia64bjo2zrkd6vkr2oiemq3cc52fq/AF-Q03637-F1-model_v2.pdb

First NFT owner address (eip-55):

0xf849160D6081641c43ABA768B2b1C10AD3F94E20

First NFT owner address (bech32):

genesis1lpy3vrtqs9jpcsat5a5t9vwpptfljn3qchcsj3

Current NFT ID #72249 owner (web3):

0xc0FfAe126262d503aF2e3f470cba4e386F545DdC

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
72249
Accession (UniProt):
Q03637
Name::
Acetylcholinesterase collagenic tail peptide
Experimental Method:
Predicted structure
Sequence source:
TORPEDO MARMORATA

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 Q03637 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q03637|COLQ_TORMA Acetylcholinesterase collagenic tail peptide OS=Torpedo marmorata OX=7788 PE=1 SV=1 MLGILLQKATATLASGLNSSRAGMFPIALGLLLQLFFDHALAESTFLDKAFSLQAALLPMEHKKRSVNKCCLLTPPPPPMFPPPFFTETNILQEVDLNNLPLEIKPTEPSCKITCIIGPPGPSGPQGPQGIQGIMGPKGEIGEIGRPGRKGRPGVRGPRGMPGSPCSPGPIGPRGEKGDIGLTGLPGARGPMGPKGLTGQKGEKGIIGEKGQQGIKGEMGVMGLPGMLGQKGEMGPKGVSGAPGHRGPVGRPGKRGKTGLKGDIGPPGIMGPSGPPGPSGLPVMSGSGHLMVGPKGERGLPGPVGRCDCNLPQTVVNPSYNKFPTLINPPQVPAIFVVDSEDELEKLNTENALAFRKDQKSLYYRDTVGWLPIQIAPIQQMRQNPTGFCGDEIVQVENGEECDDGNRIVTDSCINCKQAYCGDGYLQSGLEECDGKDFGYHTCKSYLPGSYGELKCTSYCYIDSTGCRYFT

Q03637 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q03637 research and analysis (ICN3D with VR)

FASTA sequences

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