Located in the North Country of Potsdam NY, Clark Scientific has compiled a large repository of protein specific, biochemical data.

  • Buffer Formulations
  • Cryopreservatives
  • Quality Control
  • Crystallization
  • Fragment Library Screens

Our smart R&D solutions encourage basic and applied research by guiding protein manufacturing and streamlining early stage drug design.

Clark Scientific

Protein Biochemical Profiles at Your Finger-Tips

Welcome to Clark Scientific

Located in the North Country of Potsdam NY; Clark Scientific has developed a technology that allows us to rapidly and efficiently produce large volumes of protein specific, biochemical data.

These parameters include:

  1. Buffer Formulations
  2. Cryopreservatives
  3. Quality Control
  4. Crystallization
  5. Fragment library screening. Our smart R&D solutions encourage basic and applied research by guiding protein manufacturing and streamlining early stage drug design.

Our platform is:

  1. Organized- data stored in a way which allows easy access.
  2. Scalable- ready for millions of rows.
  3. Flexible- web and mobile access from anywhere.
  4. Secure- security audits and restricted domains.
  5. Local- server installed in our data center with redundant backups to the cloud.

Biopharmaceuticals

Biopharmaceuticals could become the core of the pharmaceutical industry, but not without significant transformation in the laboratory and in strategy, technology, and operations. Biopharmaceuticals are among the most sophisticated and elegant achievements of modern science. Yet there are operational and technological challenges. The “machines” or proteins that are used in recombinant therapeutics are usually modified enzymes that must be frozen for storage, thawed without damage, and made to thrive in the unusual environment of a reaction vessel. The molecules must then be separated from the cells that made them and the media in which they were produced, all without destroying their complex, fragile structures. Although these products are very good at their job all this sophistication comes at great cost. Large-scale biotech- manufacturing facilities require $30 million to $100 million or more and can take several years to build. These facilities are costly to run with long process durations, low yields, expensive raw materials, and, not least, the need for a team of highly skilled experts to operate them.

So, what would it be worth to have all this data at your fingertips?