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0:40:52
Communicating Science 2023
0:13:11
Illustration of equipment used for video recordings
0:04:25
Lecture 13: Finishing up - recap of lecture themes
0:06:36
Lecture 13, concept 09: Computational design of new protein folds
0:00:27
Lecture 13: Study questions
0:04:28
Lecture 13, concept 08: A disaster in phase I trials for a new biological - TGN1412
0:05:34
Lecture 13, concept 07: Poly-unsaturated fatty acids (PUFAs) can rescue mutated voltage sensors
0:05:11
Lecture 13, concept 02: Full simulations of binding reveal kinetics & barriers
0:03:04
Lecture 13, concept 05: Liraglutide - a biological used to treat type-II diabetes
0:03:33
Lecture 13, concept 06: Allosteric modulation of igand-gated ion channels with different drugs
0:04:36
Lecture 13, concept 03: Designing a helix to selectively bind a membrane protein
0:04:31
Lecture 13, concept 01: Free energy calculation provides good relative binding free energies
0:02:35
Lecture 12, concept 28: Improving affinity - lead optimization
0:02:17
Lecture 12, concept 27: Validation with experimental co-crystal structure determination
0:00:43
Lecture 12, concept 23: Knowledge-based (statistical) scoring on a grid is very fast
0:01:26
Lecture 12, concept 25: Experimental vs. virtual (docking) high-throughput screening
0:01:48
Lecture 12, concept 24: Allowing ligand flexibility and producing a final ranked list
0:01:45
Lecture 12, concept 21: Fragment-based drug design tries to build a drug into a pocket
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Lecture 12, concept 19: Docking methods - find best ways to put two molecules together
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Lecture 12, concept 20: Docking has limited accuracy, but achieves extreme throughput
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Lecture 12, concept 22: Docking scoring functions can be physical, empirical, or knowledge-based
0:04:03
Lecture 12, concept 18: Docking is virtual (computational) high-throughput screening
0:02:38
Lecture 12, concept 17: An example pharmacophore
0:01:53
Lecture 12, concept 16: A pharmacophore is a profile of a drug's average properties
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