Presentation is loading. Please wait.

Presentation is loading. Please wait.

What’s New At Hypercube

Published byἙρμογένης Τρικούπη Modified over 5 years ago

Similar presentations

Presentation on theme: "What’s New At Hypercube"— Presentation transcript:

1 What’s New At Hypercube
HyperChem Release 8.0

2

3 What’s New At Hypercube
HyperProtein Release 1.0

4 Some Features of HyperProtein Release 1.0

5 HyperProtein Release 1.0

6 Functionality of HyperProtein
Release 1.0 Multiple Sequence Alignment (MSA) Profile Alignment Creation of Ancestral Sequences Phylogentic Tree Generation & Display Mapping of Phylogentic Tree to Structure Perl Scripting & Tcl Scripting

7 Functionality of HyperProtein
Release 1.0 Rich Project Approach & Windowing All Protein Features of HyperChem Prediction of Secondary Structure Protein Design (Homology) Mapping of MSA Properties to Structure Various Colorings of Sequences and Mappings

Download ppt "What’s New At Hypercube"

Similar presentations

Test practice Multiplication. Multiplication 9x2.

Test practice Multiplication. Multiplication 9x2.
1 Orthologs: Two genes, each from a different species, that descended from a single common ancestral gene Paralogs: Two or more genes, often thought of.

1 Orthologs: Two genes, each from a different species, that descended from a single common ancestral gene Paralogs: Two or more genes, often thought of.
PhyCMAP: Predicting protein contact map using evolutionary and physical constraints by integer programming Zhiyong Wang and Jinbo Xu Toyota Technological.

PhyCMAP: Predicting protein contact map using evolutionary and physical constraints by integer programming Zhiyong Wang and Jinbo Xu Toyota Technological.
درس بیوانفورماتیک December 2013 مدل ‌ مخفی مارکوف و تعمیم ‌ های آن به نام خدا.

درس بیوانفورماتیک December 2013 مدل ‌ مخفی مارکوف و تعمیم ‌ های آن به نام خدا.
Intro to Bioinformatics Summary. What did we learn Pairwise alignment – Local and Global Alignments When? How ? Tools : for local blast2seq, for global.

Intro to Bioinformatics Summary. What did we learn Pairwise alignment – Local and Global Alignments When? How ? Tools : for local blast2seq, for global.
Profile-profile alignment using hidden Markov models Wing Wong.

Profile-profile alignment using hidden Markov models Wing Wong.
11 Ch6 multiple sequence alignment methods 1 Biologists produce high quality multiple sequence alignment by hand using knowledge of protein sequence evolution.

11 Ch6 multiple sequence alignment methods 1 Biologists produce high quality multiple sequence alignment by hand using knowledge of protein sequence evolution.
Identifying functional residues of proteins from sequence info Using MSA (multiple sequence alignment) - search for remote homologs using HMMs or profiles.

Identifying functional residues of proteins from sequence info Using MSA (multiple sequence alignment) - search for remote homologs using HMMs or profiles.
Protein structure Friday, 10 February 2006 Introduction to Bioinformatics Brigham Young University DA McClellan

Protein structure Friday, 10 February 2006 Introduction to Bioinformatics Brigham Young University DA McClellan
Nucleotide sequence alignments in Compara Stephen Fitzgerald

Nucleotide sequence alignments in Compara Stephen Fitzgerald
Social behavior of proteins? Rui Alves. Organization of the talk Social behavior of the protein?!?!?!? Using meta text analysis Using phylogenetic profiling.

Social behavior of proteins? Rui Alves. Organization of the talk Social behavior of the protein?!?!?!? Using meta text analysis Using phylogenetic profiling.
Doug Raiford Lesson 3.  More and more sequence data is being generated every day  Useless if not made available to other researchers.

Doug Raiford Lesson 3.  More and more sequence data is being generated every day  Useless if not made available to other researchers.
Multiple Alignment and Phylogenetic Trees Csc 487/687 Computing for Bioinformatics.

Multiple Alignment and Phylogenetic Trees Csc 487/687 Computing for Bioinformatics.
1 LSM2241 AY0910 Semester 2 MiniProject Briefing Round 5.

1 LSM2241 AY0910 Semester 2 MiniProject Briefing Round 5.
Protein Secondary Structure, Bioinformatics Tools, and Multiple Sequence Alignments Finding Similar Sequences Predicting Secondary Structures Predicting.

Protein Secondary Structure, Bioinformatics Tools, and Multiple Sequence Alignments Finding Similar Sequences Predicting Secondary Structures Predicting.
Copyright OpenHelix. No use or reproduction without express written consent1.

Copyright OpenHelix. No use or reproduction without express written consent1.
PROTEIN PHYSICS LECTURES 22-23

PROTEIN PHYSICS LECTURES 22-23
Prediction of Protein Binding Sites in Protein Structures Using Hidden Markov Support Vector Machine.

Prediction of Protein Binding Sites in Protein Structures Using Hidden Markov Support Vector Machine.
Exercises Pairwise alignment Homology search (BLAST) Multiple alignment (CLUSTAL W) Iterative Profile Search: Profile Search –Pfam –Prosite –PSI-BLAST.

Exercises Pairwise alignment Homology search (BLAST) Multiple alignment (CLUSTAL W) Iterative Profile Search: Profile Search –Pfam –Prosite –PSI-BLAST.
Comparative methods Basic logics: The 3D structure of the protein is deduced from: 1.Similarities between the protein and other proteins 2.Statistical.

Comparative methods Basic logics: The 3D structure of the protein is deduced from: 1.Similarities between the protein and other proteins 2.Statistical.

Similar presentations

Ads by Google