九月 2005 - 文章

看看你名字的篆体写法?

想看你的名字用1000种字体怎样写吗?

这是一个免费的字库浏览器,不用字库字体下载,直接输入文字就可以查看各种字体显示的效果,是字体下载前的查询工具。可以当字体字形查询的字典和字帖使用,特别是繁体字和印章篆字字典,很有意思。

Posted 作者 shininglake with 39 comment(s)

一本非常好的书

《Protein Structure and Function》2004年发行的,非常新,内容也很好,非常全面。共分5章,都放在我的百宝箱中了。
Posted 作者 shininglake with 10 comment(s)

开始锻炼身体

前几天和学生们一起踢球,才踢了二十几分钟就发现体力不支,虽然仍然坚持了半场而没有受伤,但是还是决定开始锻炼身体!同时加强脚踝力量,避免常崴脚,而且也为轮滑打下基础(计划放弃电动车,每天穿着刷子上下班)。

首先开始跳绳,按照李小龙的方法,跳三分钟休息一分钟,这样跳三遍,以后逐步增加次数。接着练习双飞,昨天连续跳了35个,争取不断打破自己的记录!这样每天练习15-20分钟就能出一身汗,感觉很舒畅:)

Posted 作者 shininglake with 8 comment(s)

幻觉

http://www.michaelbach.de/ot/index.html

这里收集了57种会让你产生幻觉的图片。这告诉你,眼见未必是实!实验结果也是如此啊,不经过严格分析的结果也许只是表象。

Posted 作者 shininglake with no comments

EB(溴化乙锭)的处理方法

今天在Google Group上看到一个帖子在讨论处理EB(Ethidium bromide,溴化乙锭)废液的问题,这确实是个问题,正好把相关资料翻译一下,供大家参考:

由于EB是一种诱变剂,直接倒入水槽或扔进拉圾箱可能会带来危害。所以应该根据情况处理:

1. 电泳胶

胶里面痕量的EB没有问题,如果小于0.1%可以直接扔掉。而如果发红,即大于等于0.1%时应该放在生物危害柜中焚烧掉。

2. EB溶液

<10ug/ml 时可以直接倒入水槽

>10ug/ml 时应该用木炭过滤或化学方法使其失活(推荐用木炭过滤的方法)

溶液中还有重金属、氢化物、硫化物时应该按照危险垃圾处理

化学中和方法:

方法一:加等体积的漂白粉,搅拌4小时,静置4天,用NaOH调至pH4-9, 倒入排水沟的同时用大量水冲。

方法二:每100ml加5%磷酸,加12ml0.5M的NaNO3,搅拌并静置20小时,同上调pH, 倾倒。

3. 手套、设备等物品

放在医用垃圾中焚烧,如污染严重则用漂白剂处理。

Posted 作者 shininglake with 2 comment(s)

利用Kyte-Doolittle图预测蛋白的跨膜区和球形蛋白表面区域

这是较早的和经典的方法,学习一下还是有用的:)

 

  蛋白质是由氨基酸通过肽键连接而成,每一个氨基酸有一个R基团。氨基酸结构如下:

二十种氨基酸的结构如下:

Amino Acids

Name           Abbr.         Linear structure formula
======================================================
Alanine        ala a                 CH3-CH(NH2)-COOH
Arginine       arg r  HN=C(NH2)-NH-(CH2)3-CH(NH2)-COOH
Asparagine     asn n          H2N-CO-CH2-CH(NH2)-COOH
Aspartic acid  asp d           HOOC-CH2-CH(NH2)-COOH
Cysteine       cys c             HS-CH2-CH(NH2)-COOH
Glutamine      gln q       H2N-CO-(CH2)2-CH(NH2)-COOH
Glutamic acid  glu e         HOOC-(CH2)2-CH(NH2)-COOH
Glycine        gly g                    NH2-CH2-COOH
Histidine      his h      NH-CH=N-CH=C-CH2-CH(NH2)-COOH
                          |__________|
Isoleucine     ile i     CH3-CH2-CH(CH3)-CH(NH2)-COOH
Leucine        leu l       (CH3)2-CH-CH2-CH(NH2)-COOH
Lysine         lys k          H2N-(CH2)4-CH(NH2)-COOH
Methionine     met m        CH3-S-(CH2)2-CH(NH2)-COOH
Phenylalanine  phe f             Ph-CH2-CH(NH2)-COOH
Proline        pro p                NH-(CH2)3-CH-COOH
                                    |_________|
Serine         ser s              HO-CH2-CH(NH2)-COOH
Threonine      thr t          CH3-CH(OH)-CH(NH2)-COOH
Tryptophan     trp w      Ph-NH-CH=C-CH2-CH(NH2)-COOH
                           |_______|
Tyrosine       tyr y         HO-p-Ph-CH2-CH(NH2)-COOH
Valine         val v           (CH3)2-CH-CH(NH2)-COOH

    R基团决定蛋白的疏水和亲水性。亲水基团是极性的,可以通过氢键与水相互作用。而疏水基团是非极性的,不能与水相互作用,因此又被称作“憎水的”。氨基酸的疏水性质决定其在蛋白质最终的三维结构中所处的位置(Kyte, Doolittle 1982)。在球形蛋白中,疏水的R基团将位于蛋白的内部,远离胞质中的水。亲水的R基团位于蛋白的外侧,与胞质中的水相互作用。而一个整合膜蛋白必定有一段1820个疏水氨基酸的肽链以使其穿过内部疏水性很强的双层脂膜。膜内的疏水性来自于脂分子的长烃链。所有的亲水氨基酸被推到膜外。生物学的一条基本原则是蛋白质的结构决定其功能。预测其结构将有助于生物学家推断其功能。

 

注:原文为One of the basic tenants of biology is that the structure of a protein defines its function.这里tenant用法很奇怪,在金山词霸上也查不到,原以为会不会是“信条tanet”打错了,不过在google上搜到很多这样的句子,看来是个固定用法,不知道应该译为“原则”是否合适。)

 

Kyte-Doolittle

   Kyte-Doolittle图将向你提供关于一个蛋白的可能结构的信息,预测潜在的跨膜或表面区域。

方法:根据疏水性的不同对每个氨基酸指定一个分值,介于4.6~-4.6之间。4.6是疏水性最强的的,而-4.6是亲水性最强的。各氨基酸分值如下:

 

Amino Acid Hydropathy Scores

 

Amino Acid Name

One Letter Code

Hydropathy Score

Isoleucine

I

4.5

Valine

V

4.2

Leucine

L

3.8

Phenylalanine

F

2.8

Cysteine

C

2.5

Methionine

M

1.9

Alanine

A

1.8

Glycine

G

-0.4

Threonine

T

-0.7

Tryptophan

W

-0.9

Serine

S

-0.8

Tyrosine

Y

-1.3

Proline

P

-1.6

Histidine

H

-3.2

Glutamic acid

E

-3.5

Glutamine

Q

-3.5

Aspartic acid

D

-3.5

Asparagine

N

-3.5

Lysine

K

-3.9

Arginine

R

-4.5

注:此分值来自于最早的文献,后来的不同的计算方法中对氨基酸的打分也不尽相同。

 

  接着要设定“window size”,这里的“window size”指的是一定的氨基酸数目,此数目的氨基酸的疏水值平均数将指派给此窗口的第一个氨基酸,依次往下推。可以把这隔窗口想象成在一张纸上简一个方窟窿,然后在序列上移动。默认的“window size”值为9。这样形成一张图,y轴表示疏水值,x轴表示窗口的数字。

  关于参数的设定,通常在寻找球形蛋白的表面区域时把“window size”设为9,在中线一下可认为是表面区域。而在确定跨膜区时“window size”需要设为19,峰值超过1.6时可认为是跨膜区。

GRAVY值是蛋白中所有氨基酸的疏水平均值,在图上用一道红线表示。整合膜蛋白的GRAVY值比球形蛋白高。尽管这也是很有用的信息,但是仅此一点仍不足以可靠预测。

对了,忘了给出预测地址了:KYTE DOOLITTLE HYDROPATHY PLOT

Posted 作者 shininglake with 11 comment(s)

系统生物学

前几天在BBS上有人讨论什么是系统生物学,今天正好看到几段文字,顺手摘录一下:

Systems biology is an emergent field that aims at system-level understanding of biological systems. Since the days of Weiner, system-level understanding has been a long standing goal of biological sciences. Cybernetics, for example, aims at describing animals and machines from the control and communication theory. Unfortunately, molecular biology has just started at that time, so that only phenomenological analysis has been possible. It was only recently that system-level analysis can be grounded on discoveries at molecular-level. With the progress of genome sequence project and range of other molecular biology project that accumulate in-depth knowledge of molecular nature of biological system, we are now at the stage to seriously look into possibility of system-level understanding solidly grounded on molecular-level understanding.
   What does it mean to understand at "system level"? Unlike molecular biology which focus on molecules, such as sequence of nucleotide acids and proteins, systems biology focus on systems that are composed of molecular components. Although systems are composed of matters, the essence of system lies in dynamics and it cannot be described merely by enumerating components of the system. At the same time, it is misleading to believe that only system structure, such as network topologies, is important without paying sufficient attention to diversities and functionalities of components. Both structure of the system and components plays indispensable role forming symbiotic state of the system as a whole.
   Within this context, (1) understanding of structure of the system, such as gene regulatory and biochemical networks, as well as physical structures, (2) understanding of dynamics of the system, both quantitative and qualitative analysis as well as construction of theory/model with powerful prediction capability, (3) understanding of control methods of the system, and (4) understanding of design methods of the system, are key milestones to judge how much we understand the system.
   There are numbers of exciting and profound issues that are actively investigated, such as robustness of biological systems, network structures and dynamics, and applications to drug discovery. Systems biology is in its infancy, but this is the area that has to be explored and the area that we believe to be the main stream in biological sciences in this century.

References:
H. Kitano, Systems Biology: a brief overview, Science, 295:1662-1664, 2002
H. Kitano, Computational Systems Biology, Nature, 420:206-210, 2002

以上摘自http://www.systems-biology.org/index.html

Systems Biology:  the 21st Century Science

Systems biology is the study of an organism, viewed as an integrated and interacting network of genes, proteins and biochemical reactions which give rise to life. Instead of analyzing individual components or aspects of the organism, such as sugar metabolism or a cell nucleus, systems biologists focus on all the components and the interactions among them, all as part of one system. These interactions are ultimately responsible for an organism´s form and functions. For example, the immune system is not the result of a single mechanism or gene. Rather the interactions of numerous genes, proteins, mechanisms and the organism´s external environment, produce immune responses to fight infections and diseases.

Systems biology emerged as the result of the genetics "catalog" provided by the Human Genome project, and a growing understanding of how genes and their resulting proteins give rise to biological form and function. The study of systems biology has been aided by the ease with which the internet allows researchers to store and distribute massive amounts of information, plus advances in powerful new research technologies, and the infusion of scientists from other disciplines, e.g. computer scientists, mathematicians, physicists, and engineers.

Traditional biology — the kind most of us studied in high school and college, and that many generations of scientists before us have pursued — has focused on identifying individual genes, proteins and cells, and studying their specific functions. But that kind of biology can yield relatively limited insights about the human body.

As an analogy, if you wanted to study an automobile, and focused on identifying the engine, seat belts, and tail lights, and studied their specific functions, you would have no real understanding of how an automobile operates. More important, you would have no understanding of how to effectively service the vehicle when something malfunctions. So too, a traditional approach to studying biology and human health has left us with a limited understanding of how the human body operates, and how we can best predict, prevent, or remedy potential health problems. Biologists, geneticists, and doctors have had limited success in curing complex diseases such as cancer, HIV, and diabetes because traditional biology generally looks at only a few aspects of an organism at a time.

As scientists have developed the tools and technologies which allow them to delve deeper into the foundations of biological activity — genes and proteins — they have learned that these components almost never work alone. They interact with each other and with other molecules in highly structured but incredibly complex ways, similar to the complex interactions among the countless computers on the Internet. Systems biology seeks to understand these complex interactions, as these are the keys to understanding life.

The individual function and collective interaction of genes, proteins and other components in an organism are often characterized together as an interaction network. Indeed, understanding this interplay of an organism´s genome and environmental influences from outside the organism (nature and nurture) is crucial to developing a — systems — understanding of an organism that will ultimately transform our understanding of human health and disease.

Systems biology is still in its infancy; we are at the turning point in our understanding of what the future holds for biology and human medicine. The Institute for Systems Biology is pioneering this rich new opportunity.

以上摘自http://www.systemsbiology.org

Posted 作者 shininglake with 1 comment(s)

一个Pathway数据库

http://www.biocyc.org/

生化反应途径及基因组数据库。

Posted 作者 shininglake with no comments

又一起坠机

这是今年第几起了,竟然感觉数不过来了。会不会与天气有关?今年的飓风也奇多,在合肥这么多年好象头一回如此清晰的感觉“台风来了”。

Posted 作者 shininglake with 1 comment(s)

大家来找碴

关于这个blog程序的一个bug, 上次忘了说的: 如果评论者把评论的默认标题改掉,不再是“re:××××”,那么就无从知道作者是针对哪篇文章发的评论了。:(

所以也在这里提醒访客,如果你希望我看到评论的话,千万不要改标题。

Posted 作者 shininglake with 4 comment(s)