Accompanying files for "A bridge-like lipid transfer protein is critical for generation of invasive stages in malaria parasites"

This upload contains files documented in a preprint and a published article. Preprint: https://doi.org/10.1101/2025.07.25.666630 Article: https://doi.org/10.1038/s41467-026-70887-1 The files uploaded here are: Structures: Alphafold3 (1) predictions for PfVPS13L1 (split in 2 pieces: 1-3600; 3281-5988), PfVPS13L2 (split in 3 pieces: 1-2822; 2140-5096; 4401-7594), PfVPS13L5 (split in 2 pieces: 1-4805; 3668-6769), PfVPS13L16 (split in 2 pieces: 1-4916; 3868-5415) and PgVPS13L6 used for the domain cartoons presented in Fig. 4d and Supplementary Fig. 5. Five confidence-ranked structures are presented for each protein sequence. The annotated full length structure of PfVPS13L1 (presented in Fig. 5b-d) was aligned on PyMOL (2) and is also included in the PfVPS13L1 zip as a .pse file. The domain colored structures of PfVPS13L2, 5 and 6 and PgVPS13L6 (presented in Supplementary Fig. 5b-d) are included in the corresponding zip files as .pse files. Alphafold3 (1) interaction prediction of PfVPS13L1 N-term (a.a. 1-2976) and PfVAP (presented in Supplementary Fig. 7f). Alphafold3 (1) interaction prediciton of the C-terminal PH domain of PfVPS13L1 (a.a. 5864-5988) and the C-terminal HEPN-L domain of PfAegerolysin (a.a. 681-827) presented in Fig. 6f and Supplementary Fig. 10h. Sequences and alignments used for conservation coloring in Fig. 6f are also included in the .zip file. Plasmids: All partially annotated sequences for all transfected plasmids in the study, organized into 4 categories. Code: Python codes for identifying FFAT motifs in a given fasta file using the scoring matrix from Slee et al. (3) or the one proposed for Plasmodium in this article (the latter was removed from the final version of the article). The code was partially written by ChatGPT (OpenAI, 2025). References 1. Abramson, J et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature (2024). 2. The PyMOL Molecular Graphics System, Version 2.0. Schrödinger LLC. 3. Slee, J.A. & Levine, T.P. Systematic prediction of FFAT motifs across eukaryote proteomes identifies nucleolar and eisosome proteins with the predicted capacity to form bridges to the endoplasmic reticulum. Contact (Thousand Oaks) (2019).