C1AJ62 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiecyu6mmjb36v2343mgfri4u4fujonlibcujteh77gdd46bpgjvvu/metadata.json
IPFS of structure file: 
bafybeibtzggbhh5zpqgrp3y33iijqgyt6d3hfjkvwaa3nbhszjszb4u7pu/AF-C1AJ62-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x429aA010A80A47FF4a2777bB34A2bba144d19df2
First NFT owner address (bech32): 
genesis1g2d2qy9gpfrl7j38w7anfg4m59zdr80jky6jnc
Current NFT ID #532422 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532422
Accession (UniProt):
C1AJ62
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Mycobacterium bovis (strain BCG / Tokyo 172 / ATCC 35737 / TMC 1019)

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 C1AJ62 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C1AJ62|YIDD_MYCBT Putative membrane protein insertion efficiency factor OS=Mycobacterium bovis (strain BCG / Tokyo 172 / ATCC 35737 / TMC 1019) OX=561275 GN=JTY_3982 PE=3 SV=1 MSLSRQSCGRVVRVTGRASARGLIFVIQVYRHMLSPLRPASCRFVPTCSQYAVDALTEYGLLRGSWLTMIRLAKCGPWHRGGWDPIPEGLTTGRSCQTDVDGANDDWNPASKRGERESFV