From 06c735bedc5326a90b65c701a8c7890acbeef929 Mon Sep 17 00:00:00 2001
From: Leiwei <47361617+BlueShark002@users.noreply.github.com>
Date: Sun, 29 Sep 2024 22:45:05 +0800
Subject: [PATCH] Update index.md

---
 docs/index.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/index.md b/docs/index.md
index a31eb90..b909f93 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -7,4 +7,4 @@ Extremophiles, known for their ability to thrive in extreme environments, are va
 
 In response, we developed iExtreme, a comprehensive database containing 1,030 genomes of extremophiles across three categories, alongside a deep learning method for their identification. This method achieved an accuracy of up to 0.99 in predicting extremophile living conditions. Through **iExtreme**, we identified 520 previously unknown extremophilic species and 4,419 extremophilic genomes from various databases. Additionally, we utilized structure-based clustering to discover novel D-psicose 3-epimerases (DPEase) and α-amylases. To further enhance enzyme activity, we developed a directed evolution method using phage-assisted non-continuous evolution in droplets. The evolved DPEase demonstrated a 3-fold increase in activity, a 5.4-fold extension in half-life, and achieved the highest reported yield of 243 g/L D-allulose.
 
-![home](../img/home.png)
+![home](./img/home.png)