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文章數:86 |
TANG Zhan 湯棧適合辦尾牙嗎?》公益路必吃美食Top10|高質感餐廳大集合 |
| 知識學習|考試升學 2026/04/20 23:48:34 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
身為一個熱愛美食、喜歡在城市裡挖掘驚喜的人,臺中公益路一直是我最常出沒的地方之一。這條路可說是「臺中人的美食戰場」,從精緻西餐到創意火鍋,從日式丼飯到義式早午餐,每走幾步,就會有完全不同的特色料理餐廳。 這次我特別花了一整個月,實際造訪了公益路上十間口碑不錯的餐廳。有的是網友熱推的打卡名店,也有隱藏在巷弄裡的小驚喜。我以環境氛圍、口味表現、價格CP值與再訪意願為基準,整理出這篇實測評比。希望能幫正在猶豫去哪裡吃飯的你,找到那一間「吃完會想再來」的餐廳。 評比標準與整理方向
這次我走訪的10家餐廳橫跨不同料理類型,從高質感牛排館到巷弄系早午餐,每一間都有自己獨特的風格。為了讓整體比較更客觀,我依照以下四大面向進行評比,並搭配實際用餐體驗來打分。
整體而言,我希望這份評比不只是「哪家好吃」,而是幫你在不同情境下(約會、家庭聚餐、朋友小聚、商業午餐)都能快速找到合適的選擇。畢竟,美食不只是味覺的滿足,更是一段段與朋友共享的生活記憶。 10間臺中公益路餐廳評比懶人包公益路向來是臺中人聚餐的首選地段,從火鍋、燒肉到中式料理與早午餐,每走幾步就有驚喜。以下是我實際造訪過的10間代表性餐廳清單,橫跨平價、創意、高級各路風格。
一頭牛日式燒肉|炭香濃郁的和牛饗宴,約會聚餐首選
走在公益路上,很難不被 一頭牛日式燒肉 的木質外觀吸引。低調卻不失質感的門面,搭配昏黃燈光與暖色調的內裝,讓人一進門就感受到濃濃的日式職人氛圍。店內空間不大,但桌距規劃得宜,每桌皆設有獨立排煙設備,烤肉時完全不怕滿身油煙味。 餐點特色
一頭牛的靈魂,絕對是他們招牌的「三國和牛拼盤」。 用餐體驗整體節奏掌握得非常好。店員會在你剛想烤下一片肉時貼心遞上夾子、幫忙換烤網,讓人完全不用分心。整場用餐過程就像一場表演,從視覺、嗅覺到味覺都被滿足。 綜合評分
地址:408臺中市南屯區公益路二段162號電話:04-23206800 小結語一頭牛日式燒肉不僅是「吃肉的地方」,更像是一場五感盛宴。從進門那一刻到最後一道甜點,都能感受到他們對細節的用心。 TANG Zhan 湯棧|文青系火鍋代表,麻香湯底與視覺美感並重
在公益路這條美食戰線上,TANG Zhan 湯棧 是讓人一眼就會想走進去的那一種。 餐點特色
湯棧最有名的當然是它的「麻香鍋」。 用餐體驗整體氛圍比一般火鍋店更有質感。 綜合評分
地址:408臺中市南屯區公益路二段248號電話:04-22580617 官網:https://www.facebook.com/TangZhan.tw/ 小結語TANG Zhan 湯棧 把傳統火鍋做出新的樣貌保留臺式鍋物的溫度,又結合現代風格與細節服務,讓吃鍋這件事變得更有品味。 如果你想找一間兼具「好吃、好拍、好放鬆」的火鍋店,湯棧會是公益路上最有風格的選擇之一。 NINI 尼尼臺中店|明亮寬敞的義式早午餐天堂
如果說前兩間是肉食愛好者的天堂,那 NINI 尼尼臺中店 絕對是想放鬆、聊聊天的好地方。餐廳外觀以白色系與大片玻璃窗為主,陽光灑進室內,讓人一踏入就有種度假般的輕盈感。假日早午餐時段特別熱鬧,建議提早訂位。 餐點特色
NINI 的菜單融合義式與臺灣人口味,選擇多樣且份量十足。主打的 松露燉飯 濃郁卻不膩口,米芯保留微Q口感;而 香蒜海鮮義大利麵 則以新鮮白蝦、花枝與淡菜搭配微辣蒜香,口感層次豐富。 用餐體驗店內氣氛輕鬆不拘謹,無論是一個人帶電腦工作、或朋友聚餐,都能找到舒服角落。餐點上桌速度穩定,服務人員態度親切、補水與收盤都非常主動。整體節奏讓人覺得「時間變慢了」,很適合想遠離忙碌日常的人。 綜合評分
地址:40861臺中市南屯區公益路二段18號電話:04-23288498 小結語NINI 尼尼臺中店是一間能讓人放下手機、慢慢吃飯的餐廳。餐點不追求浮誇,而是以「剛剛好」的份量與風味,陪伴每個平凡午後。如果你在找一間能邊吃邊聊天、拍照也漂亮的早午餐店,NINI 會是你在公益路上最不費力的幸福選擇。 加分100%浜中特選昆布鍋物|平價卻用心的湯頭系火鍋,家庭聚餐好選擇
在公益路這條高質感餐廳林立的戰場上,加分100%浜中特選昆布鍋物 走的是截然不同的路線。它沒有浮誇的裝潢、也沒有高價位的套餐,但靠著實在的湯頭與親切的服務,默默吸引許多回頭客。每到用餐時間,總能看到家庭或情侶三兩成群地圍著鍋邊聊天。 餐點特色
主打 北海道浜中昆布湯底,湯頭清澈卻不單薄,越煮越能喝出海藻與柴魚的自然香氣。 用餐體驗整體氛圍偏家庭取向,桌距寬敞、座位舒適,帶小孩來也不覺擁擠。店員態度親切,補湯、收盤都很勤快,給人一種「被照顧著」的安心感。 綜合評分
地址:403臺中市西區公益路288號電話:0910855180 小結語加分100%浜中特選昆布鍋物是一間「不浮誇、但會讓人想再訪」的火鍋店。它不追求豪華擺盤,而是用最簡單的湯頭與新鮮食材,傳遞出家常卻不平凡的溫度。 印月餐廳|中式料理的藝術演繹,宴客與家庭聚會首選
說到臺中公益路的中式料理代表,印月餐廳 絕對是榜上有名。這間開業多年的餐廳以「中菜西吃」的概念聞名,把傳統中式料理以現代手法重新詮釋。從建築外觀到餐具擺設,每個細節都散發著低調的典雅氣息。 餐點特色
印月最令人印象深刻的是他們將傳統中菜融入創意手法。 用餐體驗服務方面完全對得起餐廳的高級定位。從入座、點餐到上菜節奏,都拿捏得恰如其分。每道菜都會有服務人員細心介紹食材與吃法,讓人感受到「被款待」的尊榮感。 綜合評分
地址:408臺中市南屯區公益路二段818號電話:0422511155 小結語印月餐廳是一間「不只吃飯,更像品味生活」的地方。 KoDō 和牛燒肉|極致職人精神,專為儀式感與頂級味覺而生
若要形容 KoDō 和牛燒肉 的用餐體驗,一句話足以總結——「像在欣賞一場關於肉的表演」。 餐點特色
這裡主打 日本A5和牛冷藏肉,以「精切厚燒」的方式呈現。 用餐體驗KoDō 的最大特色是「儀式感」。 綜合評分
地址:403臺中市西區公益路260號電話:0423220312 官網:https://www.facebook.com/kodo2018/ 小結語KoDō 和牛燒肉不是日常餐廳,而是一場體驗。 永心鳳茶|在茶香裡用餐的優雅時光,臺味早午餐的新詮釋
走進 永心鳳茶公益店,彷彿進入一間有氣質的茶館。 餐點特色
永心鳳茶的餐點結合中式靈魂與西式擺盤,無論是「炸雞腿飯」還是「紅玉紅茶拿鐵」,都能讓人感受到熟悉卻不平凡的味道。 用餐體驗店內服務人員態度溫和,對茶品介紹詳盡。上餐節奏剛好,不急不徐。 綜合評分
地址:40360臺中市西區公益路68號三樓(勤美誠品)電話:0423221118 小結語永心鳳茶讓人重新定義「臺味」。 三希樓|老饕級江浙功夫菜,穩重又帶人情味的中式饗宴
位於公益路上的 三希樓 是許多臺中老饕的口袋名單。 餐點特色
三希樓的菜色以 江浙與港式料理 為主,兼顧傳統與現代風味。 用餐體驗三希樓的服務給人一種老派但貼心的感覺。 綜合評分
地址:408臺中市南屯區公益路二段95號電話:0423202322 官網:https://www.sanxilou.com.tw/ 小結語三希樓是一間「吃得出功夫」的餐廳。 一笈壽司|低調奢華的無菜單日料,職人手藝詮釋旬味極致
在熱鬧的公益路上,一笈壽司 低調得幾乎不顯眼。 餐點特色
一笈壽司採 Omakase(無菜單料理) 形式,每一餐都由主廚根據當日食材設計。 用餐體驗整場用餐約90分鐘,節奏緩慢但沉穩。 綜合評分
地址:408臺中市南屯區公益路二段25號電話:0423206368 官網:https://www.facebook.com/YIJI.sushi/ 小結語一笈壽司是一間真正讓人「放慢呼吸」的餐廳。 茶六燒肉堂|人氣爆棚的和牛燒肉聖地,肉香與幸福感同時滿分
若要票選公益路上「最難訂位」的餐廳,茶六燒肉堂 絕對名列前茅。 餐點特色
茶六主打 和牛燒肉套餐,價格約落在 $700–$1000 間,份量與品質兼具。 用餐體驗茶六的服務效率相當高。店員親切、換網勤快、補水速度快,整場用餐流程流暢無壓力。 綜合評分
地址:403臺中市西區公益路268號電話:0423281167 官網:https://inline.app/booking/-L93VSXuz8o86ahWDRg0:inline-live-karuizawa/-LUYUEIOYwa7GCUpAFWA 小結語茶六燒肉堂用「穩定品質+輕奢氛圍」抓住了臺中年輕族群的心。 吃完10家公益路餐廳後的心得與結語吃完這十家餐廳後,臺中公益路不只是一條美食街,而是一段生活風景線。 有的餐廳講究細膩與儀式感,像 一頭牛日式燒肉 與 一笈壽司,讓人感受到食材最純粹的美好 有的則以親切與溫度打動人心,像 加分昆布鍋物、永心鳳茶,讓人明白吃飯不只是為了飽足,而是一種被照顧的幸福。 而像茶六燒肉堂、TANG Zhan 湯棧 這類人氣名店,則用穩定的品質與熱絡的氛圍,成為許多臺中人心中「想吃肉就去那裡」的代名詞。 這十家店,構成了公益路最動人的縮影 有華麗的,也有溫柔的;有傳統的,也有創新的。 每一家都在自己的風格裡發光,讓人吃到的不只是料理,而是一種生活的溫度與節奏。 對我而言,這不僅是一場美食旅程,更是一趟關於「臺中味道」的回憶之旅。 FAQ:關於臺中公益路美食常見問題Q1:公益路哪一區的餐廳最集中? Q2:需要提前訂位嗎? 最後的話若要用一句話形容這趟美食之旅,我會說: 一頭牛日式燒肉公司聚餐適合嗎? 如果你也和我一樣喜歡用味蕾探索一座城市,那就把這篇公益路美食攻略收藏起來吧。KoDō 和牛燒肉用餐環境舒服嗎? 無論是約會、慶生、家庭聚餐,或只是想犒賞一下辛苦的自己——這條路上永遠會有一間剛剛好的餐廳在等你。TANG Zhan 湯棧有生日驚喜或畫盤嗎? 下一餐,不妨從這10家開始。印月餐廳會太油嗎? 打開手機、約上朋友,讓公益路成為你生活裡最容易抵達的小確幸。永心鳳茶會太油嗎? 如果你有私心愛店,也歡迎留言分享,印月餐廳公司聚餐適合嗎? 你的推薦,可能讓我下一趟美食旅程變得更精彩。茶六燒肉堂氣氛如何? A new study shows that gut bacteria can influence the molecular pattern of glycosylation – the presence of sugar groups on proteins – in the brain. Credit: Daniela Velasco Lozano/EMBL By employing a novel technique to examine how carbohydrates modify proteins, scientists have found that gut bacteria can influence molecular signatures in the brain. Our gut is home to trillions of bacteria, which play a crucial role in our health and disease. A recent study by researchers at EMBL Heidelberg reveals that these gut bacteria can trigger significant molecular changes in one of our most vital organs—the brain. Published in Nature Structural & Molecular Biology, the study is the first to demonstrate that gut bacteria can influence how proteins in the brain undergo glycosylation, a process in which carbohydrates modify proteins. This breakthrough was made possible by a newly developed method called DQGlyco, which enables researchers to analyze glycosylation with greater scale and precision than ever before. A new way to measure glycosylation Proteins are the workhorses of our cells and their main building blocks. Sugars, or carbohydrates, on the other hand, are among the body’s main sources of energy. However, the cell also uses sugars to chemically modify proteins, altering their functions. This is called glycosylation. “Glycosylation can affect how cells attach to each other (adhesion), how they move (motility), and even how they talk to one another (communication),” explained Clément Potel, first author of the study and Savitski Team Research Scientist. “It is involved in the pathogenesis of several diseases, including cancer and neuronal disorders.” However, glycosylation has traditionally been notoriously difficult to study. Only a small portion of proteins in the cell are glycosylated and concentrating enough of them in a sample for studying (a process called ‘enriching’) tends to be laborious, expensive, and time-consuming. “So far, it’s not been possible to do such studies on a systematic scale, in a quantitative fashion, and with high reproducibility,” said Mikhail Savitski, Team Leader, Senior Scientist, and Head of the Proteomics Core Facility at EMBL Heidelberg. “These are the challenges we managed to overcome with the new method.” DQGlyco uses easily available and low-cost laboratory materials, such as functionalised silica beads, to selectively enrich glycosylated proteins from biological samples, which can then be precisely identified and measured. Applying the method to brain tissue samples from mice, the researchers could identify over 150,000 glycosylated forms of proteins (‘proteoforms’), an increase of over 25-fold compared to previous studies. The quantitative nature of the new method means that researchers can compare and measure differences between samples from different tissues, cell lines, species etc. This also allows them to study the pattern of ‘microheterogeneity’ – the phenomenon where the same part of a protein can be modified by many (sometimes hundreds of) different sugar groups. One of the most common examples of microheterogeneity is human blood groups, where the presence of different sugar groups on proteins in red blood cells determines blood type (A, B, O, and AB). This plays a major role in deciding the success of blood transfusions from one individual to the other. The new method allowed the team to identify such microheterogeneity across hundreds of protein sites. “I think the widespread prevalence of microheterogeneity is something people had always assumed but that had never been clearly demonstrated, since you need to have enough coverage of glycosylated proteins to be able to make the statement,” said Mira Burtscher, another first author of the study and a Savitski Team PhD student. From the gut to the brain Given the method’s precision and power, the researchers decided to use it to address an outstanding biological question. In collaboration with Michael Zimmermann’s group at EMBL, they next tested whether the gut microbiome had any effect on the glycosylation signatures they had observed in the brain. Both Zimmermann and Savitski are part of the Microbial Ecosystems Transversal Theme at EMBL, which was introduced by the 2022-26 EMBL program ‘Molecules to Ecosystems’. “It is known that gut microbiomes can affect neural functions, but the molecular details are largely unknown,” said Potel. “Glycosylation is implicated in many processes, such as neurotransmission and axon guidance, so we wanted to test if this was a mechanism by which gut bacteria influenced molecular pathways in the brain.” Interestingly, the team found that when compared to ‘germ-free mice,’ i.e. mice grown in a sterile environment such that they completely lack any microbes in and on their body, mice colonized with different gut bacteria had different glycosylation patterns in the brain. The changed patterns were particularly apparent in proteins known to be important in neural functions, such as cognitive processing and axon growth. The study’s datasets are openly available via a new dedicated app for other researchers. In addition, the team is also curious whether the data can be used to inform predictions about glycosylation sites, especially in different species. For this, they have been using machine learning approaches such as AlphaFold – the AI-based tool for predicting protein structures recognized with the 2024 Nobel Prize in Chemistry. “By training the models on mouse data, we can start predicting what could be the variability of glycosylation sites in humans, for example,” said Martin Garrido, a postdoc in the Savitski and Saez-Rodriguez groups at EMBL and another first author of the study. “It could be very useful for people studying other organisms to help them identify glycosylation sites in their proteins of interest.” The researchers are also working towards applying the new method to answer more fundamental biological questions and to understand the functional role glycosylation plays in cells. Reference: “Uncovering protein glycosylation dynamics and heterogeneity using deep quantitative glycoprofiling (DQGlyco)” by Clément M. Potel, Mira Lea Burtscher, Martin Garrido-Rodriguez, Amber Brauer-Nikonow, Isabelle Becher, Cecile Le Sueur, Athanasios Typas, Michael Zimmermann and Mikhail M. Savitski, 10 February 2025, Nature Structural & Molecular Biology. DOI: 10.1038/s41594-025-01485-w A new study by UC San Diego researchers reveals unique inhibitory neurons in the human forebrain, offering insights that may improve models of brain function and disease, and showing that certain neurons share common lineages, a discovery with significant implications for understanding brain diseases. Researchers unveil new insights into human forebrain development A team of scientists from the University of California San Diego School of Medicine conducted a study that provides a new understanding of how the human forebrain develops. The study, led by Changuk Chung, Ph.D., and Xiaoxu Yang, Ph.D., both from the laboratory of Joseph G. Gleeson, M.D., Department of Neurosciences at the School of Medicine and the Rady Children’s Institute for Genomic Medicine, provide a greater understanding of how the human brain develops at the cellular level. The study also presents evidence for the existence of the source of inhibitory neurons (dInNs) in the human brain that differ from origins in other species like mice, a common lab animal used in brain studies. The group outlined their findings in a paper recently published in the journal Nature. Functionality and Importance of the Forebrain The forebrain, or cerebral cortex, is the largest part of the brain, important for a wide range of functions, ranging from cognitive thought, vision, attention, and memory. Neurons are cells that serve as the individual circuits of the brain. Inhibitory neurons usually function as a kind of neural “off” switch, as opposed to the “on” switch of excitatory neurons. “Humans have a very large and wrinkled cortex that likely supports higher cognitive functions compared with other species, such as rodents,” Gleeson explained. A trio of researchers (from left) Xiaoxu Yang, Changuk Chung and Joseph G. Gleeson led a study that advanced the understanding of the structure of the human brain on the cellular level. All three are associated with the University of California San Diego School of Medicine Department of Neurosciences and the Rady Children’s Institute for Genomic Medicine. Credit: UC San Diego Health Sciences He said that the inhibitory neurons in mice have an origin from deep within the developing brain. The current study puts that model to the test by assessing cellular lineage. They found the existence of dInNs, which are absent in mice. He said finding evidence for this specific type of neuron in humans opens the door to greater understanding how the human brain is special. “We expect dInNs to support new, more accurate, models of human brains,” Gleeson said. “This updated brain model may help explain the origins of certain conditions like epilepsy, schizophrenia or autism.” Cellular Lineage and Brain Structure The group was especially interested in following the lineage trail of mosaic variants of brain cells. “If two cells share the same mother cell, we say they have the same lineage,” Chung said. “If two individual cells have a same mosaic variant, they were born from a common mother cell that passed it to all of its daughters,” Yang explained. “So, mosaic variants in cells function like family names in people.” The researchers directly accessed brains from two neurotypical donors who died from natural causes. They used mosaic variants to trace where these cells came from, to identify sister cells born in the same brain region, and to determine how far each “family name” spread across the brain. They revealed that some inhibitory and excitatory neurons essentially have the same family name, which Chung said means the two types of neurons share lineage. The two types likely branched in a late moment of embryonic cerebral development, he added, noting that such a cellular relationship is not present in other species. “We hope our paper helps other researchers generate better models of neurological disease, and which types of brain diseases can result from impaired development,” Gleeson concluded. Reference: “Cell-type-resolved mosaicism reveals clonal dynamics of the human forebrain” by Changuk Chung, Xiaoxu Yang, Robert F. Hevner, Katie Kennedy, Keng Ioi Vong, Yang Liu, Arzoo Patel, Rahul Nedunuri, Scott T. Barton, Geoffroy Noel, Chelsea Barrows, Valentina Stanley, Swapnil Mittal, Martin W. Breuss, Johannes C. M. Schlachetzki, Stephen F. Kingsmore and Joseph G. Gleeson, 10 April 2024, Nature. DOI: 10.1038/s41586-024-07292-5 This work was supported by National Institute of Mental Health (NIMH) grants U01MH108898, R01MH124890 and R21MH134401; a Larry L. Hillblom Foundation Grant; a Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) grant K99HD111686; a 2021 NARSAD Young Investigator Grant from the Brain & Behavior Research Foundation; and the Rady Children’s Institute for Genomic Medicine. The research team reconstructed an ancestral enzyme by searching databases for corresponding modern enzymes, using the obtained sequences to calculate the original sequence, and introducing the corresponding gene sequence into lab bacteria to produce the desired protein. The enzyme was then studied in detail and compared to modern enzymes. Molecular biologists and bioinformatics researchers conducted detective work in order to accomplish this feat. The research team, led by Professors Mario Mörl and Sonja Prohaska, focused on enzymes called tRNA nucleotidyltransferases, which attach three nucleotide building blocks in the sequence C-C-A to small RNAs (transfer RNAs) in cells. These RNAs are subsequently used to supply amino acids for protein synthesis. Using phylogenetic reconstructions, the team reconstructed a candidate for an ancestral enzyme that existed in bacteria around 2 billion years ago and compared it to a modern bacterial enzyme. They found that both enzymes work with similar precision, but have clear differences in their reactions. Previously, scientists were unable to understand why modern enzymes often interrupt their activity, but this study showed that this tendency is actually an evolutionary advantage, which had puzzled biochemists for decades. The ancestral enzyme is processive, i.e. it works without interruption, but every now and then removes nucleotide building blocks that have already been correctly added. The results show that much can be learned about the evolution and properties of modern enzymes from enzyme reconstructions and that many questions can only be solved through interaction between bioinformatics and biochemistry – in a back-and-forth between computer calculations and laboratory experiments. This is what a phylogenetic tree looks like whose origin (middle) goes back two billion years. The tips of the branches each represent the enzyme of a modern organism. Credit: Diana Smikalla Shimmying Into the Past by Tracing Relationships Using gene sequences, evolutionary phylogenetic trees can also be created of bacteria. Starting from today’s broad diversity of organisms in a species tree, the evolutionary path of individual genes can be reconstructed along relationships and branches, and painstakingly traced back to a common origin. The reconstruction is essentially a three-step process. First, databases are searched for corresponding modern enzymes in order to be able to examine the sequence of amino acid building blocks. The sequences obtained can then be used to calculate what the original sequence should have looked like. The corresponding gene sequence coding for the old enzyme is then introduced into laboratory bacteria so that they form the desired protein. The enzyme can then be studied in detail to determine its properties and compared with modern enzymes. “When the news came back from the lab that the reconstructed enzyme performs the C-C-A addition, and does so even in a wider temperature range than today’s enzymes, that was the breakthrough,” Sonja Prohaska recalls. Evolutionary Optimization: Pauses in Activity Increase Efficiency Like organisms, enzymes are also optimized through evolution. The work (catalysis) performed by an enzyme usually runs faster and better the stronger it can bind its substrate. The reconstructed ancestral enzyme does precisely that, it holds on to the substrate, the tRNA, and attaches the three C-C-A nucleotides one after the other without letting go. Modern tRNA nucleotidyltransferases, on the other hand, are distributive, i.e. they work in stages with pauses during which they repeatedly release their substrate. Nevertheless, they are more efficient and faster than their ancestral predecessors. This puzzled the researchers. Why do modern enzymes keep letting go of their substrate? The explanation lies in the phenomenon of the reverse reaction, in which the incorporated nucleotides are removed again by the enzyme. While the strong binding of the ancestral enzyme to the substrate results in subsequent removal, the reverse reaction in modern enzymes is almost completely prevented by letting go of the substrate. This allows them to work more efficiently than their predecessors. “We have now finally been able to explain why modern tRNA nucleotidyltransferases work so efficiently despite their distributive nature,” says Mario Mörl. “The finding took us in the team completely by surprise. We didn’t expect anything like this. We had the question 20 years ago and now we can finally answer it using bioinformatics reconstruction methods. This close cooperation between bioinformatics and biochemistry has existed in Leipzig for several years and has proven, not for the first time, to be a great advantage for both sides.” Reference: “Substrate Affinity Versus Catalytic Efficiency: Ancestral Sequence Reconstruction of tRNA Nucleotidyltransferases Solves an Enzyme Puzzle” by Martina Hager, Marie-Theres Pöhler, Franziska Reinhardt, Karolin Wellner, Jessica Hübner, Heike Betat, Sonja Prohaska and Mario Mörl, 21 November 2022, Molecular Biology and Evolution. DOI: 10.1093/molbev/msac250 RRG455KLJIEVEWWF |
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