Andrew Millar<p>6. 7/8 🌐📚 Future prospects: there was so little biochemical data for our specific proteins, we had to rely on genome-wide data (PBMs). We could then estimate Kd for ANY sequence. That means, also for sequence variants. </p><p>Our earlier Framework Model v2 (FMv2) and FM-Life models link the clock right up, through plant metabolism, growth, development and physiology, to seed-to-seed adaptation in real weather. </p><p>Anyone who assembles these parts gets to predict how an Arabidopsis genome sequence variant will be adapted to climatic conditions. With a full causal chain. The mechanisms of evolutionary adaptation.👀 <a href="https://fediscience.org/tags/GoForIt" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GoForIt</span></a></p><p>Sure it’s simplified and there’s much to validate but it’s there. DNA-binding Kd is just where we started, there’s more known biochemistry to add.</p><p><a href="https://fediscience.org/tags/Evolution" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Evolution</span></a> <a href="https://fediscience.org/tags/LifeCycle" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LifeCycle</span></a> <a href="https://fediscience.org/tags/QuantitativeBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>QuantitativeBiology</span></a> <a href="https://fediscience.org/tags/Arabidopsis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Arabidopsis</span></a></p>