Q4FM95 AF NFT

Trigger factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih3iqtar6yzxlfnfcmfhd4fo3674c5aex4b6dckvkw3uaobeu2lmy/metadata.json
IPFS of structure file: 
bafybeicfxno2c5abfswvceoisx6juvbs2vgrpj2gltvu32xnfokdm224ta/AF-Q4FM95-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA5Ad7b0565B651fcEA9363Bec9dE2576C59B4DA2
First NFT owner address (bech32): 
genesis15kkhkpt9kegle65nvwlvnh39wmzekndzpvscuj
Current NFT ID #466092 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
466092
Accession (UniProt):
Q4FM95
Name::
Trigger factor
Experimental Method:
Predicted structure
Sequence source:
PELAGIBACTER UBIQUE (STRAIN HTCC1062)

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 Q4FM95 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4FM95|TIG_PELUB Trigger factor OS=Pelagibacter ubique (strain HTCC1062) OX=335992 GN=tig PE=3 SV=1 MKVTVENKKGLNKDIKVFIDKETMNSYMDEKYEEIKKTVNLKGFRPGKVPKEVLKRQFGQAIFSEVLDKVLKDTSVKALEDNKIKPAGQPKLDLKTYGEDKDLEYVMSITELPKVELKSVENIKFDEYSVKIDTNETDKRIKEIAKSQNNFKEVAADVRAVEENLVIFDYKATIDGKDFTGGEGKNTQLILGKDLFIKGFDKQLIGVKKNDEKSVDVTLPENYPQKEYANKKANFICKITEVKKSEEVKIDDVFAKNLGAKDLADLKVLVSKQINDEYKNSLDKLAKTQILKEIENFKVDEIPENLIEEEVKILSQGMTEEDSKKSRKNFEEIAKKRIKVGLILNEFGEQNKIKVTEQEVQAEVQKQLRMMPGQEKMVMEFYQKNPSALASLRGTVYEEKIIDLIKTKAKPSKKEISKEEAEKILKEHQKQDHNHEHDHNHDHDHPEEKKASKSTKIEKKPKPSASKKPSTKKVSKK