A3M0W5 AF NFT

Glucose-6-phosphate isomerase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeify6uht7cnui2keqo2qwdygujj3giul5km4tck36i33j2juok7vje/metadata.json
IPFS of structure file: 
bafybeifgqeqvi7kc5bkkyctyo34kwrqef2ptmfwiyy6pd77eou54ag7y7a/AF-A3M0W5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9e5E98E011361C5888c92e2CDb7652E02Bd5C7Ed
First NFT owner address (bech32): 
genesis1ne0f3cq3xcw93zxf9ckdkajjuq4at3ldwq49kv
Current NFT ID #139487 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
139487
Accession (UniProt):
A3M0W5
Name::
Glucose-6-phosphate isomerase
Experimental Method:
Predicted structure
Sequence source:
ACINETOBACTER BAUMANNII (STRAIN ATCC 17978 / CIP 53.77 / LMG 1025 / NCDC KC755 / 5377)

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 A3M0W5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A3M0W5|G6PI_ACIBT Glucose-6-phosphate isomerase OS=Acinetobacter baumannii (strain ATCC 17978 / CIP 53.77 / LMG 1025 / NCDC KC755 / 5377) OX=400667 GN=pgi PE=3 SV=2 MSKSIEKFPKELVSPIAQLHSLVEKNSKLHIKELFAAEQDRFQNYSVKFDQLVFDYSKHRITKSVLEQLFALAKTKQLTHWIERLFSQDKVNCTEQRAAMHWALRLPSEYSKFPELTKQVHTQLQRMYALVEKIHAGQYRGATGEVIQDVVNIGVGGSDLGPQMVTHALCDFKVKTAKPLNVHFVSTMDGSQLSDLLHQLRPETTLFIISSKSFGTIDTLSNAQTVRQWLEKALGKHDRVVKSHFIGVSTKAEKMTEWGIAPENQLLLWDWVGGRYSLWSCIGFPIALTIGIDGFQQLLAGAHAVDEHFQNTSFEQNIPVLMALLGIWNNNFLNIQTHAVLPYDGRLKYFAAYLQQLEMESNGKSVQRDGQKVELDTCPIVWGEVGPNAQHAFYQLLHQGTQAVSCDFIAPIQRYNADHFTYVENAEALIEQHHLALSNCLAQSRLLAFGNEALDSAELKNLPIYKQYEGNQPSSTLLLKELNPYSLGMLIALYEHKVFVQSVIWNINPFDQWGVEKGKQIADQLLPILNGAQNDLSALDASTRGLIKILLGKVDG