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Unverified Commit 15610baa authored by Dreta's avatar Dreta
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fix: update reference list formatting

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......@@ -89,7 +89,15 @@ strong {
}
.a-layout img {
max-width: 35rem;
max-width: min(35rem, 100%);
}
.a-layout i {
font-style: italic;
}
.a-layout b {
font-weight: bold;
}
.gradient-text {
......
<script>
import { fade } from 'svelte/transition'
let expanded = false
</script>
{#if expanded}
<div transition:fade class="rounded-3xl p-3 bg-sky-50" id="references">
<slot />
</div>
{:else}
<button on:click={() => expanded = true} transition:fade class="rounded-3xl p-3 bg-sky-50">
Expand References
</button>
{/if}
......@@ -6,7 +6,7 @@
</script>
<p class="font-display text-lg mb-3">On This Page</p>
<div class="bg-cyan-50 rounded-3xl px-3 py-2">
<div class="bg-sky-50 rounded-3xl px-3 py-2">
{#each sections as section}
<Section section={section} />
{/each}
......
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......@@ -8,6 +8,7 @@
import img7 from '$lib/images/pages/overview-img7.webp'
import img8 from '$lib/images/pages/overview-img8.webp'
import { onMount } from 'svelte'
import References from '$lib/components/References.svelte'
let rightImage: HTMLElement
let end: HTMLElement
......@@ -242,15 +243,53 @@
</div>
<h2 bind:this={end} class="heading-2" id="references">References</h2>
<p>In ScanCer, we refer to previous researchers' use of FRET technology for comparing ATP levels in the
mitochondrial matrix of HeLa cells with those in the cytoplasm and nucleus, and use FRET as the
technical
basis to improve an efficient ATP detection probe for high-throughput drug screening and fluorescence
imaging. Using the sensor that we have developed, we screened breast cancer medicines and conducted
functional validation.</p>
<p>In ScanCer, we refer to previous researchers' use of FRET technology for comparing ATP levels in the
mitochondrial matrix of HeLa cells with those in the cytoplasm and nucleus, and use FRET as the
technical
basis to improve an efficient ATP detection probe for high-throughput drug screening and fluorescence
imaging. Using the sensor that we have developed, we screened breast cancer medicines and conducted
functional validation.</p>
<References>
<p>Algar, W. R., Hildebrandt, N., Vogel, S. S., & Medintz, I. L. (2019). FRET as a biomolecular research tool —
understanding its potential while avoiding pitfalls. <i>Nature Methods, 16</i>(9), 815–829.
https://doi.org/10.1038/s41592-019-0530-8</p>
<p>Blay, V., Tolani, B., Ho, S. P., & Arkin, M. R. (2020). High-throughput screening: Today’s biochemical and
cell-based approaches. <i>Drug Discovery Today, 25</i>(10), 1807–1821.
https://doi.org/10.1016/j.drudis.2020.07.024</p>
<p>Erard, M., Fredj, A., Pasquier, H., Beltolngar, D. B., Bousmah, Y., Derrien, V., Vincent, P., & Merola, F.
(2013). Minimum set of mutations needed to optimize cyan fluorescent proteins for live cell imaging. <i>Molecular
bioSystems, 9</i>(2), 258–267. https://doi.org/10.1039/c2mb25303h</p>
<p>Gorodetska, I., Kozeretska, I., & Dubrovska, A. (2019). BRCA genes: The role in genome stability, cancer stemness
and therapy resistance. <i>Journal of Cancer, 10</i>(9), 2109–2127. https://doi.org/10.7150/jca.30410</p>
<p>Imamura, H., Nhat, K. P. H., Togawa, H., Saito, K., Iino, R., Kato-Yamada, Y., Nagai, T., & Noji, H. (2009).
Visualization of ATP levels inside single living cells with fluorescence resonance energy transfer-based
genetically encoded indicators. <i>Proceedings of the National Academy of Sciences, 106</i>(37), 15651–15656.
https://doi.org/10.1073/pnas.0904764106</p>
<p>Lambert, T. (n.d.). Aquamarine at FPbase. <i>FPbase</i>. Retrieved from
https://www.fpbase.org/protein/aquamarine/</p>
<p>Lambert, T. (n.d.). Mbaojin at FPbase. <i>FPbase</i>. Retrieved from https://www.fpbase.org/protein/mbaojin/</p>
<p>Miyawaki, A. (2003). Visualization of the spatial and temporal dynamics of intracellular signaling. <i>Developmental
Cell, 4</i>(3), 295–305. https://doi.org/10.1016/S1534-5807(03)00060-1</p>
<p>Siegel, R. L., Giaquinto, A. N., & Jemal, A. (2024). Cancer statistics, 2024. <i>CA: A Cancer Journal for
Clinicians, 74</i>(1), 12–49. https://doi.org/10.3322/caac.21820</p>
<p>Sun, Y. S., Zhao, Z., Yang, Z. N., Xu, F., Lu, H. J., Zhu, Z. Y., Shi, W., Jiang, J., Yao, P. P., & Zhu, H. P.
(2017). Risk factors and preventions of breast cancer. <i>International Journal of Biological Sciences, 13</i>(11),
1387–1397. https://doi.org/10.7150/ijbs.21635</p>
<p>Wang, N., Tytell, J., & Ingber, D. E. (2009). Mechanotransduction at a distance: Mechanically coupling the
extracellular matrix with the nucleus. <i>Nature Reviews Molecular Cell Biology, 10</i>(1), 75–82.
https://doi.org/10.1038/nrm2594</p>
<p>Zhang, H., Lesnov, G. D., Subach, O. M., Zhang, W., Kuzmicheva, T. P., Vlaskina, A. V., Samygina, V. R., Chen,
L., Ye, X., Nikolaeva, A. Y., Gabdulkhakov, A., Papadaki, S., Qin, W., Borshchevskiy, V., Perfilov, M. M.,
Gavrikov, A. S., Drobizhev, M., Mishin, A. S., Piatkevich, K. D., & Subach, F. V. (2024). Bright and stable
monomeric green fluorescent protein derived from staygold. <i>Nature Methods, 21</i>(4), 657–665.
https://doi.org/10.1038/s41592-024-02203-y</p>
<p>Zhou, H., Su, X., Lin, L., Zhang, J., Qi, Q., Guo, F., Xu, F., & Yang, B. (2019). Inhibitory effects of antiviral
drug candidates on canine parvovirus in F81 cells. <i>Viruses, 11</i>(8), 742. https://doi.org/10.3390/v11080742
</p>
</References>
<script>
import { math } from 'mathlifier'
import Molstar from '$lib/components/Molstar.svelte'
import References from '$lib/components/References.svelte'
</script>
<p>Throughout the project, our team utilized molecular docking technology to screen drugs from a drug library and
......@@ -742,32 +743,31 @@
<p>TODO</p>
<h2 class="heading-2" id="references">References</h2>
<p>Trott, O., & Olson, A. J. (2010). AutoDock Vina: improving the speed and accuracy of docking with a new scoring
function, efficient optimization, and multithreading. Journal of computational chemistry, 31(2), 455–461.
https://doi.org/10.1002/jcc.21334</p>
<References>
<p>Abagyan, R., Totrov, M., & Kuznetsov, D. (1994). ICM—a new method for protein modeling and design: applications
to docking and structure prediction from the distorted native conformation. <i>Journal of Computational
Chemistry</i>, <i>15</i>(5), 488–506.</p>
<p>Abagyan, R., Totrov, M., & Kuznetsov, D. (1994). ICM—a new method for protein modeling and design: applications to
docking and structure prediction from the distorted native conformation. Journal of computational chemistry, 15(5),
488-506.</p>
<p>Baxter, J. (1981). Local optima avoidance in depot location. <i>Journal of the Operational Research Society</i>,
<i>32</i>(9), 815–819.</p>
<p>Holland JH. Adaptation in Natural and Artificial Systems. Ann Arbor: The University of Michigan Press; 1975.</p>
<p>Blum, A. R. C., Blesa, M., & Sampels, M. (Eds.). (2008). <i>Hybrid Metaheuristics: An Emerging Approach to
Optimization</i>. Springer-Verlag.</p>
<p>Eberhart R, Kennedy J. A new optimizer using particle swarm theory. Proceedings of the Sixth International Symposium
on Micro Machine and Human Science; 1995. Oct 4, pp. 39–43.</p>
<p>Eberhart, R., & Kennedy, J. (1995). A new optimizer using particle swarm theory. In Proceedings of the Sixth
International Symposium on Micro Machine and Human Science (pp. 39–43).</p>
<p>Kennedy J, Eberhart R. Particle swarm optimization. Proceedings of the IEEE International Conference on Neural
Networks; 1995. Nov, pp. 1942–1948.</p>
<p>Holland, J. H. (1975). <i>Adaptation in Natural and Artificial Systems</i>. The University of Michigan Press.</p>
<p>Kirkpatrick S, Gelatt C, Vecchi M. Optimization by simulated annealing. Science. 1983 May;vol. 220:671–680.</p>
<p>Kennedy, J., & Eberhart, R. (1995). Particle swarm optimization. In Proceedings of the IEEE International
Conference on Neural Networks (pp. 1942–1948).</p>
<p>Baxter J. Local optima avoidance in depot location. Journal of the Operational Research Society. 1981;vol. 32(no.
9):815–819.</p>
<p>Kirkpatrick, S., Gelatt, C., & Vecchi, M. (1983). Optimization by simulated annealing. <i>Science</i>, <i>220</i>,
671–680.</p>
<p>Blum ARC, Blesa M, Sampels M, editors. Hybrid Metaheuristics: An Emerging Approach to Optimization. Springer-Verlag;
2008.</p>
<p>Trott, O., & Olson, A. J. (2010). AutoDock Vina: improving the speed and accuracy of docking with a new scoring
function, efficient optimization, and multithreading. <i>Journal of Computational Chemistry</i>, <i>31</i>(2),
455–461. https://doi.org/10.1002/jcc.21334</p>
<p>Abagyan R, Totrov M, Kuznetsov D. ICM - A new method for protein modeling and design - applications to docking and
structure prediction from the distorted native conformation. Journal of Computational Chemistry. 1994 May;vol.
15:488–506.</p>
<p>TODO</p>
\ No newline at end of file
<p>TODO</p>
</References>
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